Relevant bibliographies by topics / The cross-correlation function

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'The cross-correlation function'

Author: Grafiati
Published: 6 June 2025
Last updated: 25 June 2025

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Journal articles on the topic "The cross-correlation function"

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Evans, M. W. "Cross correlation functions in protein dynamics and function." Journal of Molecular Liquids 41 (October 1989): 223–31. http://dx.doi.org/10.1016/0167-7322(89)80080-7.

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Hartmann, William M., and Brad Rakerd. "Deconstructing the interaural cross-correlation function." Journal of the Acoustical Society of America 126, no. 4 (2009): 2288. http://dx.doi.org/10.1121/1.3249378.

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Baştürk, Ö., T. H. Dall, R. Collet, G. Lo Curto, and S. O. Selam. "Bisectors of the HARPS cross-correlation function." Astronomy & Astrophysics 535 (October 26, 2011): A17. http://dx.doi.org/10.1051/0004-6361/201117740.

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Lu, C. Y. "Cross-correlation of system outputs-ambiguity function." IEEE Transactions on Circuits and Systems 38, no. 1 (1991): 131–34. http://dx.doi.org/10.1109/31.101311.

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Wapenaar, Kees. "Nonreciprocal Green’s function retrieval by cross correlation." Journal of the Acoustical Society of America 120, no. 1 (2006): EL7—EL13. http://dx.doi.org/10.1121/1.2208153.

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Rika, J., and Th Binkert. "Direct measurement of a distinct correlation function by fluorescence cross correlation." Physical Review A 39, no. 5 (1989): 2646–52. http://dx.doi.org/10.1103/physreva.39.2646.

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Pankratov, S. V., V. A. Labusov, and O. A. Neklyudov. "Qualitative elemental analysis using a cross-correlation function." Аналитика и контроль 17, no. 1 (2013): 33–40. http://dx.doi.org/10.15826/analitika.2013.17.1.005.

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Arrighini, G. P., F. Biondi, and C. Guidotti. "Multiphoton ionisation cross sections: a correlation function approach." Journal of Physics B: Atomic and Molecular Physics 19, no. 9 (1986): 1297–306. http://dx.doi.org/10.1088/0022-3700/19/9/012.

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Belmont, M. R., A. J. Hotchkiss, S. J. Maskell, and E. L. Morris. "Generalized Cross-Correlation, Part II: Discretization of Generalized Cross-Correlation and Progress to Date in Its Implementation." Journal of Applied Mechanics 64, no. 2 (1997): 327–35. http://dx.doi.org/10.1115/1.2787311.

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The companion article, “Generalised Cross-Correlation Functions, Part I,” introduced a generalization of cross-correlation in which the constant shift used in traditional cross-correlation is replaced by a function of time or space. This allows correlation to be applied globally to the whole domain of interest avoiding the need to compromise spatial resolution with statistical reliability. The development in Part I was entirely in terms of continuous variables. This article examines the issues that arise when Generalized Cross-Correlation is applied to discrete variable situations. Topics discussed include sampling rate requirements, noise rejection, and efficient approximate algorithms, with special attention being paid to the condition number for the system.
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Carrozzini, Benedetta, Giovanni Luca Cascarano, and Carmelo Giacovazzo. "The cross-correlation function: main properties and first applications." Journal of Applied Crystallography 43, no. 2 (2010): 221–26. http://dx.doi.org/10.1107/s0021889809049346.

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When a model structure, and more generally a model electron density ρM(r), is available, its cross-correlation functionC(u) with the unknown true structure ρ(r) cannot be exactly calculated. A useful approximation ofC(u) is obtained by replacing exp[i(φh − φMh)] by its expected value. In this caseC′(u), a potentially useful approximation of the functionC(u), is obtained. In this paper the main crystallographic properties of the functionsC(u) andC′(u) are established. It is also shown that such functions may be useful for the success of the phasing process.
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Dissertations / Theses on the topic "The cross-correlation function"

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Savasta, Oropeza Olga Yurancy. "Wave-equation traveltime-offset inversion using a bi-dimensional cross-correlation function." Thesis, University of Edinburgh, 1998. http://hdl.handle.net/1842/11371.

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This dissertation addresses the problem of inverting two-dimensional seismic data to determine the compressional wave velocity as a function of the spatial position in the medium. An automatic procedure for velocity estimation is set up using a bi-dimensional cross-correlation function to compare the modelled seismograms with the data. The standard wave-equation traveltime inversion algorithm treats each recorded seismic trace independently, and ignores the offset-dependence of reflected and diffracted arrivals in an ensemble of traces in a shot gather. My new inversion method, wave-equation traveltime-<I>offset</I> inversion, focuses on reflected or diffracted waveforms and introduces the bi-dimensional (offset-time) cross-correlation function to tackle this offset dependence. The velocity model is updated using the current velocity model, the observed pressure field, and the fields computed by reverse time propagation of two pseudo-residual functions acting as sources in a particular location. The wave-equation traveltime-offset inversion reconstructs the low frequency content of the velocity model when transmitted arrivals are used. Combined with the full waveform inversion, it succeeds in inverting a synthetic fault model in the crosshole configuration. The proposed method also succeeds in inverting surface reflection datasets while the standard traveltime inversion fails. By taking into account the moveout between traces, the convergence is more stable than with the conventional method. When inverting datasets with surface reflection geometries, the dominant event and the velocity above it are recovered using the traveltime and offset information. The remaining interfaces are defined as well. However, as there is a gap in resolution between the long and short wavelengths, the blocky variations in the velocity model are not observed.
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Aslan, Sevda Coban. "NEURAL CONTROL OF CARDIOVASCULAR FUNCTION FOLLOWING SPINAL CORD INJURY IN HUMANS." UKnowledge, 2006. http://uknowledge.uky.edu/gradschool_diss/255.

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Maintenance of stable arterial blood pressure during orthostatic challenges is a major problem after spinal cord injury (SCI). Since early participation in rehabilitation is critically important in reducing long term morbidity, recovering the ability to regulate blood pressure during therapy is essential for individuals with SCI. The objective of our study was to investigate short term cardiovascular function of able-bodied (AB), paraplegic (PARA) and tetraplegic (TETRA) subjects in response to head up tilt (HUT) as an early indicator of autonomic damage that might forewarn of future orthostatic regulatory problems. We acquired cardiovascular variables from able-bodied (AB; n=11), paraplegic (PARA; n=5) and tetraplegic (TETRA; n=5) subjects in response to HUT. The SCI patients in both groups were in their first two months post injury. Data were recorded at rest and during 7 min each at 20??, 40??, 60?? and 80?? HUT. Techniques used to estimate regulatory capability and reflex activity included: Mean values and spectral power of heart rate (HR) and arterial blood pressure (BP), baroreflex sequence measurements and cross correlation between HR and systolic blood pressure (SBP). An index of baroreflex sensitivity (BRS), baroreflex effectiveness index (BEI), and the percentage occurrence of systolic blood pressure (BP) ramps and baroreflex sequences were calculated from baroreflex sequence measurements. The spectral power of HR and BP, the cross correlation of systolic BP and heart rate (HR) were examined in low frequency (LF: 0.04-0.15 Hz) and high frequency (HF: 0.15-0.4 Hz) ranges. The BRS index was significantly (p andlt; 0.05) decreased from supine to 80o HUT in AB and TETRA. This index in PARA was the lowest at each tilt position in the three groups, and decreased with tilt. The percentage of heart beats involved in systolic BP ramps and in baroreflex sequences significantly (pandlt;0.05) rose from supine to 80o HUT in AB, was relatively unchanged in PARA and declined in TETRA. Both of these indexes were significantly (pandlt;0.05) lowerin the SCI than in the AB group at each tilt level. The BEI values were greatest in AB, and declined with tilt in all groups. Spinal cord injured patients had less power of BP and HR fluctuations than AB in both LF and HF regions. The LF spectral power of BP and HR increased with tilt in AB, remained unchanged in PARA and decreased in TETRA. The HF spectral power of HR decreased in all three groups. The peak HR / BP cross correlation in the LF region was greatest in AB, and significantly (pandlt;0.05) increased during HUT in AB, remained fairly constant in PARA, and declined in TETRA. The peak cross correlation in the HF region significantly (pandlt;0.05) decreased with tilt in all groups, and the SCI group had lower values than AB at each tilt level. We conclude that both PARA and TETRA had a smaller percentage of SBP ramps, BRS, and lower BEI than AB, likely indicating decreased stimulation of arterial baroreceptors, and less engagement of feedback control. The mixed sympathetic, parasympathetic innervations of paraplegics, or their elevated HR, may contribute to their significantly lower BRS. Our data indicate that the pathways utilized to evoke baroreflex regulation of HR are compromised by SCI and this loss may be a major contributor to the decrease in orthostatic tolerance following injury.
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Hejazi, Nooghabi Aida. "Green's function retrieval from noise correlation in multiple scattering media." Electronic Thesis or Diss., Sorbonne université, 2018. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2018SORUS609.pdf.

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L'interférométrie de bruit ambiant est une approche pour estimer la réponse impulsionnelle entre deux récepteurs sans source active. Cette thèse contribue à l'évaluation de la robustesse et de la précision de la reconstruction de la fonction de Green par la corrélation du bruit ambiant dans les milieux réverbérants. Plus précisément, on distingue les rôles respectifs de la partie balistique et coda des signaux dans les corrélations. Ensuite, nous nous concentrons sur un milieu réverbérant incluant un diffuseur. Nous estimons de manière passive la force du diffuseur en utilisant l'interférométrie du bruit ambiant. Dans la dernière partie de ce travail, nous nous concentrons sur un milieu réverbérant contenant les inclusions résonantes. Notre but est d'évaluer le comportement de la corrélation dans ce type de milieu. Nous avons construit un de ces matériaux au laboratoire qui est constitué des tiges verticales à la surface d'une plaque mince élastique. Nous trouvons que les différents comportements sont bien cohérents avec les régimes qui correspondent à la bande de propagation ou interdite. Comme la partie sismique, nous appliquons la technique de corrélation aux données réelles récupérées lors de l'expérience METAFORET. Nos résultats sont sont en accord avec le comportement diffusant des arbres dans les gammes de fréquence correspondante<br>Ambient-noise interferometry is an approach to estimate the transient response between two receivers without an active source. The method consists of cross-correlating recordings of ambient vibrations at a pair of passive instruments that act only as receivers. This dissertation contributes to evaluating the robustness and accuracy of Green's function reconstruction by cross-correlation of noise, disentangling the respective roles of ballistic and reverberated ('coda') signals. We focus our study on a strongly reverberating medium. We conduct a suite of experiments on a highly reverberating thin duralumin plate. We find that the coda of the arrivals contribute the most to retrieval of the Green's function. We also develop an analytical model that predicts the dependence of symmetry of the cross-correlations on the number of sources. Next, we focus on a reverberating medium with a scatterer. We passively estimate the scattering strength of the scatterer by implementing ambient-noise interferometry. In the last part, we focus on a reverberating medium with locally resonant scatterers which acts as a metamaterial. Our objective is to assess the behaviour of the cross-correlation in such a medium. We build an example of such materials in the laboratory by attaching an array of rods, arranged in a sub-wavelength order, to the surface of a thin elastic plate. We find different behaviours which are consistent with the regimes that correspond to propagation band and bandgap. We next apply the cross-correlation technique to the real data obtained in METAFORET experiment. Our findings are consistent with the resonating behaviour of trees at the corresponding frequency bands
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Carleo, Ilaria. "High precision radial velocities with giano spectra." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/7388/.

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Radial velocities measured from near-infrared (NIR) spectra are a potential tool to search for extrasolar planets around cool stars. High resolution infrared spectrographs now available reach the high precision of visible instruments, with a constant improvement over time. GIANO is an infrared echelle spectrograph and it is a powerful tool to provide high resolution spectra for accurate radial velocity measurements of exo-planets and for chemical and dynamical studies of stellar or extragalactic objects. No other IR instruments have the GIANO's capability to cover the entire NIR wavelength range. In this work we develop an ensemble of IDL procedures to measure high precision radial velocities on a few GIANO spectra acquired during the commissioning run, using the telluric lines as wevelength reference. In Section 1.1 various exoplanet search methods are described. They exploit different properties of the planetary system. In Section 1.2 we describe the exoplanet population discovered trough the different methods. In Section 1.3 we explain motivations for NIR radial velocities and the challenges related the main issue that has limited the pursuit of high-precision NIR radial velocity, that is, the lack of a suitable calibration method. We briefly describe calibration methods in the visible and the solutions for IR calibration, for instance, the use of telluric lines. The latter has advantages and problems, described in detail. In this work we use telluric lines as wavelength reference. In Section 1.4 the Cross Correlation Function (CCF) method is described. This method is widely used to measure the radial velocities.In Section 1.5 we describe GIANO and its main science targets. In Chapter 2 observational data obtained with GIANO spectrograph are presented and the choice criteria are reported. In Chapter 3 we describe the detail of the analysis and examine in depth the flow chart reported in Section 3.1. In Chapter 4 we give the radial velocities measured with our IDL procedure for all available targets. We obtain an rms scatter in radial velocities of about 7 m/s. Finally, we conclude that GIANO can be used to measure radial velocities of late type stars with an accuracy close to or better than 10 m/s, using telluric lines as wevelength reference. In 2014 September GIANO is being operative at TNG for Science Verification and more observational data will allow to further refine this analysis.
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Spitz, Nicolas. "Prediction of Trailing Edge Noise from Two-Point Velocity Correlations." Thesis, Virginia Tech, 2005. http://hdl.handle.net/10919/32637.

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This thesis presents the implementation and validation of a new methodology developed by Glegg et al. (2004) for solving the trailing edge noise problem. This method is based on the premises that the noise produced by a surface can be computed by the integral of the cross product between the velocity and vorticity fields, of the boundary layer and shed vorticity (Howe (1978)). To extract the source terms, proper orthogonal decomposition is applied to the velocity cross spectrum to extract modes of the unsteady velocity and vorticity. The new formulation of the trailing edge noise problem by Glegg et al. (2004) is attractive because it applies to the high frequencies of interest but does not require an excessive computational effort. Also, the nature of the formulation permits the identification of the modes producing the noise and their associated velocity fluctuations as well as the regions of the boundary layer responsible for the noise production. The source terms were obtained using the direct numerical simulation of a turbulent channel flow by Moser et al. (1998). Two-point velocity and vorticity statistics of this data set were obtained by averaging 41 instantaneous fields. For comparisons purposes, experimental boundary layer data by Adrian et al. (2000) was chosen. Statistical reduction of 50 velocity fields obtained by particle image velocimetry was performed and analysis of the two-point correlation function showed features similar to the DNS data case. Also, proper orthogonal decomposition revealed identical dominant modes and eddy structures in the flow, therefore justifying considering the channel flow as an external boundary layer for noise calculations. Comparison of noise predictions with experimental data from Brooks et al. (1989) showed realistic results with the largest discrepancies, on the order of 5 dB, occurring at the lowest frequencies. The DNS results are least applicable at these frequencies, since these correspond to the longest streamwise lengthscales, which are the most affected by the periodicity conditions used in the DNS and also are the least representative of the turbulence in an external boundary layer flow. Most of the noise was shown to be produced by low-frequency streamwise velocity modes in the bottom 10% of the boundary layer and locations closest to the wall. Only 6 modes were required to obtain noise levels within 1 dB of the total noise. Finally, the method for predicting spatial velocity correlation from Reynolds stress data in wake flows, originally developed by Devenport et al. (1999, 2001) and Devenport and Glegg (2001), was adapted to boundary-layer type flows. This method, using Reynolds stresses and the prescription of a lengthscale to extrapolate the full two-point correlation, was shown to produce best results for a lengthscale prescribed as proportional to the turbulent macroscale. Noise predictions using modeled two-point statistics showed good agreement with the DNS inferred data in all but frequency magnitude, a probable consequence of the modeling of the correlation function in the streamwise direction. Other quantities associated to noise were seen to be similar to the ones obtained using the DNS.<br>Master of Science
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Литвинець, Олександра Леонідівна. "Алгоритм кореляційно-екстремального стеження за безпілотним літальним апаратом за даними відеоспостереження". Master's thesis, КПІ ім. Ігоря Сікорського, 2020. https://ela.kpi.ua/handle/123456789/41306.

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Магістерська робота на тему «Алгоритм кореляційно-екстремального стеження за безпілотним літальним апаратом за даними відеоспостереження» складається з 8 розділів, 83 сторінки, 1 додатку, 60 ілюстрацій по тексту роботи та 20 таблиць. Використано 11 посилань. На сьогоднішній день прогресивний розвиток пілотної та безпілотної авіації, систем управлінням повітряними та наземними об'єктами пересування, створює необхідність у розробці технологій, що виявляють та супроводжують об'єкти у просторі. Найбільш широке застосування вони віднайшли у задачах навігації, космічного моніторингу Землі, забезпечення безпеки, бортових систем, що встановлюються у літаках, гелікоптерах та автомобілях, та охоронних послуг. Необхідність у використання методів виявлення та супроводження зростає у зв’язку з розширенням області застосування БПЛА, що можуть бути об’єктами-правопорушниками. Підвищення ефективності оптико-електронних систем необхідно для задач охорони та захисту закритих територій від несакціонованого проникнення, забезпечення їх приватності від безпілотних літаючих апаратів. Сучасні БПЛА можуть мати не тільки маленькі розміри та високу автономність, але і надзвичайно високу маневреність. Як наслідок, постійно підвищується вимоги комплексів, що обробляють поставлені цілі, а тому це приводить до поліпшення вже існуючих технологій та розробки нових методів і алгоритмів для вирішення поставлених задач. В роботі розглянута розробка та аналіз алгоритм кореляційно-екстремального стеження за безпілотним літальним апаратом за даними відеоспостережень. Метою дослідження є покращення характеристик стеження за малорозмірними БПЛА системою відеоспостереження, шляхом розробки кореляційно-екстремального алгоритма стеження. Об’єкт дослідження – процес стеження за малорозмірними БПЛА системою відеоспостереження. Предмет дослідження – методи стеження за малорозмірними БПЛА за даними відеоспостережень. Для досягнення поставленої мети необхідно вирішити такі завдання: - провести аналіз сучасних телевізійних систем відеоспостереження; - виконати аналіз кореляційно-екстремальних методів зіставлення зображень; - розглянути можливості застосування метода калманівської фільтрації для стеження за точковими цілями; - розробити алгоритм кореляційно-екстремального стеження за малорозмірним БПЛА на основі методу калманівської фільтрації; - оцінити ефективність розробленого алгоритму за допомогою статичного моделювання на ЕОМ;. - розглянути можливості практичної реалізації розробленого алгоритму.<br>The topic of master thesis is “Algorithms for correlation-extreme tracking of an unmanned aerial vehicle based on video data”. The research work consists of 8 paragraphs, 83 pages, 60 illustrations and 20 tables. In total, 11 references links were used. Nowadays, the progressive development of pilot and unmanned aerial vehicles, air and ground control systems, creates a need to develop technologies that detect and watch/tracks objects. They are most widely used in navigation, space monitoring, security, on-board systems installed in aircraft, helicopters and cars, and security services. The need for detection and tracking methods is growing due to the expansion of the scope of UAVs using and as a result the exceeding of the limits which are allowed. Improving the efficiency of optoelectronic systems is necessary for the tasks of protection and defense of closed areas from unauthorized intrusion, ensuring their privacy from unmanned aerial vehicles. Modern UAVs can have not only small size and high autonomy but also extremely high maneuverability. As a result, the requirements of systems that process the set goals are constantly increasing, and therefore it leads to the improvement of existing technologies and the development of new methods and algorithms for solving these aims. The research work considers the development and analysis of an algorithm for correlation-extreme tracking of an unmanned aerial vehicle based on video data. The aim of the work is to improve the characteristics of tracking UAVs by video system surveillance, by developing a correlation-extreme tracking algorithm. The research object is the process of monitoring UAVs by the video surveillance system. The research subject is the methods of tracking UAVs by the video surveillance system. To achieve these goals have been resolved following tasks: - to analyze modern television video surveillance systems; - to analyze correlation-extreme methods of image comparison; - to consider the possibility of applying the method of Kalman filtering for UAVs tracking; - to develop an algorithm for correlation-extreme tracking of an unmanned aerial vehicle based on video data; - to evaluate the effectiveness of the developed algorithm using static simulation on a computer; - to consider the possibilities of practical implementation of the developed algorithm.<br>Магистерская работа на тему «Алгоритм корреляционно-экстремального слежения за беспилотным летательным аппаратом по данным видеонаблюдения» состоит из 8 разделов, 83 страницы, 1 приложения, 60 иллюстраций по тексту работы и 20 таблиц. Использовано 11 ссылок. На сегодняшний день прогрессивное развитие пилотной и беспилотной авиации, систем управлением воздушными и наземными объектами передвижения, создает необходимость в разработке технологий, обнаружения и сопровождающие объектов в пространстве. Наиболее широкое применение они нашли в задачах навигации, космического мониторинга Земли, обеспечения безопасности, охранных услуг, бортовых систем, устанавливаемых в самолетах, вертолетах и автомобилях. Необходимость в использовании методов обнаружения и сопровождения растет в связи с расширением области применения БПЛА, которые могут быть объектами-правонарушителями. Повышение эффективности оптико-электронных систем необходимо для задач охраны и защиты закрытых территорий от несакционованого проникновения, обеспечение их конфиденциальности от беспилотных летательных аппаратов. Современные БПЛА могут иметь не только маленькие размеры и высокую автономность, но и чрезвычайно высокую маневренность. Как следствие, постоянно повышается требования к системам, обрабатывающих поставленные цели, а потому это приводит к улучшению уже существующих технологий и разработки новых методов и алгоритмов для решения поставленных задач. В работе рассмотрена разработка и анализ алгоритма корреляционно-экстремального слежения за беспилотным летательным аппаратом по данным видеонаблюдения. Целью исследования является улучшение характеристик слежения за малоразмерными БПЛА системой видеонаблюдения, путем разработки корреляционно-экстремального алгоритма слежения. Объект исследования - процесс слежения за малоразмерными БПЛА системой видеонаблюдения. Предмет исследования - методы слежения за малоразмерными БПЛА по данным видеонаблюдения. Для достижения поставленной цели необходимо решить следующие задачи: - провести анализ современных телевизионных систем видеонаблюдения; - выполнить анализ корреляционно-экстремальных методов сопоставления изображений; - рассмотреть возможности применения метода калмановской фильтрации для слежения за точечными целями; - разработать алгоритм корреляционно-экстремального слежения за малоразмерным БПЛА на основе метода калмановской фильтрации; - оценить эффективность разработанного алгоритма с помощью статического моделирования на ЭВМ ;. - рассмотреть возможности практической реализации разработанного алгоритма.
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Málková, Eliška. "Monitorování pohybu více objektů užitím křížové korelace." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-400456.

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Tato práce popisuje metodu analýzy translačního pohybu užitím křížové korelace. Ukazujeme, jakým způsobem se chová funkce křížové korelace obrazů s navzájem posunutými objekty, a jak nám to umožňuje nacházet jejich vektory posunu. Pro následnou implementaci je nalezena efektivní metoda pro hledání pouze požadovaného počtu lokálních maxim funkce.
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Dias, Fábio Luiz. "Estudo da Camada de Basalto em Bebedouro, Bacia do Paraná, com Função do Receptor - Implicações para a Sismicidade Induzida por Poços Profundos." Universidade de São Paulo, 2011. http://www.teses.usp.br/teses/disponiveis/14/14132/tde-12062018-172635/.

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Este trabalho consiste no estudo da estrutura sedimentar da Bacia do Paraná da região de Bebedouro utilizando função do receptor, ondas de superfície e sísmica de refração. Funções do Receptor (FR) mostram a resposta da estrutura geológica abaixo de uma estação sismográfica. Para diminuir a não unicidade na inversão do traço de uma FR, foram usadas curvas de dispersão de ondas de superfície como vínculos adicionais. Ondas de superfície foram também obtidas com a correlação cruzada de ruído sísmico ambiental. Esse método passivo permite a obtenção de dispersão em períodos intermediários entre os dados de telessismos e os dados de sísmica rasa auxiliando na determinação estruturas sedimentares. Foi utilizada a inversão conjunta de FR de alta e baixa frequência, dispersão de fase e grupo de períodos menores que 2 s e dispersão de ondas Love e Rayleigh continentais (períodos entre 10 e 100 s). Na inversão conjunta, foram usados vários modelos iniciais diferentes para garantir melhor cobertura do espaço de soluções possíveis. Os resultados mostram uma camada de basalto com uma espessura entre 200 e 400 m, sob uma camada superficial de arenito de 50 a 100m. O embasamento da bacia está torno de 2.5 3.0 km. A espessura e razão Vp/Vs crustal da região foi estimada em 40.0 (1.0) km e 1.78 (0.02). Foi possível identificar zonas de baixa velocidade dentro do pacote de basalto, possivelmente relacionadas a zonas de fraturas ou camadas de basalto alterado. Estas camadas de baixa velocidade estão na parte sul, próximas à área de maior sismicidade induzida e também relativamente mais perto dos poços profundos de maior vazão. Isto corrobora com a hipótese de que a sismicidade local está associada à exploração de poços e estrutura de falhas pré -existentes.<br>A study of the seismic structure of the Paraná Basin in Bebedouro, SP, was carried out with Receiver Functions (RF). Both low frequency (with ~0.5 Hz low pass filter) and high-frequency (~10Hz) RFs were jointly inverted with surface wave dispersion curves. Surface-wave data included: long-period group velocities of Rayleigh and Love waves from continental-scale tomography in the period range 10-100 s (useful to control crustal scale structure and Moho depth), intermediate period group velocities near 1s period obtained from cross-correlation of ambient noise (useful to control sedimentary structure), phase velocities near 0.2-1.0 s obtained from local earthquakes, and phase velocities of Rayleigh waves from shallow seismic refraction data near ~0.1 s period (useful to control shallow layers). Joint inversion was obtained with several different initial models to better cover all possible solutions. The results indicate that the basalt layer is 200 to 400m thick, beneath sandstones of about 50 100m thick. The Basin basement was detected between 2.5 3.0 km depth, consistent with expected values from regional bore-hole data in the Paraná Basin. Beneath several stations a low-velocity zone was detected in the middle of the basalt pack which is interpreted as a zone of fractured or altered basalt. This anomalous low-velocity layer was detected near the most seismically active zone in the Andes district. It is also relatively close to the deep wells with larger outflow. The existence of this low-velocity zone in the middle of the basalt layer is consistent with the model proposed for the water-well induced seismicity.
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Rouhvand, Bahar. "Vesicle-Protein Diffusion and Interaction Study Using Time Resolved Fluorescence Correlation Spectroscopy." University of Akron / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=akron1503261462042903.

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Oliveira, Cristina Maria Correia Teles Garcia de. "Função de autocorrelação estendida generalizada amostral: contributo para a identificação dos modelos de função transferência." Doctoral thesis, Instituto Superior de Economia e Gestão, 2001. http://hdl.handle.net/10400.5/9086.

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Doutoramento em Matemática Aplicada à Economia e Gestão<br>Tradicionalmente, a identificação de um modelo de função transferência bivariado é realizada através da função de correlação cruzada amostral entre as séries temporais input e output. No entanto, a prática tem mostrado que aquela função, como instrumento de identificação, apresenta um apreciável grau de subjectividade na especificação das ordens r e s, associadas aos polinómios output e input, respectivamente. Com base no estabelecimento de estimadores dos mínimos quadrados iterados consistentes, é introduzida uma generalização do conceito de função de autocorrelação estendida amostral e é proposta uma metodologia de identificação dos modelos de função transferência bivariados. Um exemplo prático e um estudo de simulação são apresentados, ilustrando as potencialidades do procedimento proposto.
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Books on the topic "The cross-correlation function"

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Kylstra, Chester D. 1936. Spatially Dependent Transfer Function of Nuclear Systems by Cross Correlation Methods. Creative Media Partners, LLC, 2021.

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Henriksen, Niels Engholm, and Flemming Yssing Hansen. Rate Constants, Reactive Flux. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198805014.003.0005.

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This chapter discusses a direct approach to the calculation of the rate constant k(T) that bypasses the detailed state-to-state reaction cross-sections. The method is based on the calculation of the reactive flux across a dividing surface on the potential energy surface. Versions based on classical as well as quantum mechanics are described. The classical version and its relation to Wigner’s variational theorem and recrossings of the dividing surface is discussed. Neglecting recrossings, an approximate result based on the calculation of the classical one-way flux from reactants to products is considered. Recrossings can subsequently be included via a transmission coefficient. An alternative exact expression is formulated based on a canonical average of the flux time-correlation function. It concludes with the quantum mechanical definition of the flux operator and the derivation of a relation between the rate constant and a flux correlation function.
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Kizner, Harold George 1936. Experimental Determination of Transfer Functions of Beams and Plates by Cross-Correlation Techniques. Creative Media Partners, LLC, 2021.

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Pitt, Matthew. Techniques used to test the neuromuscular junction in children. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198754596.003.0009.

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The tests used to measure the neuromuscular junction function in children are repetitive nerve stimulation (RNS) and single-fibre electromyography (SFEMG). The physiological changes which explain abnormalities in RNS are covered in this chapter as are those affecting jitter measurement when measured by SFEMG. Practical considerations of how to perform RNS in children are discussed, along with the reasons for using SFEMG in preference to RNS and the need to use stimulation techniques. Controversies concerning so-called stimulated SFEMG including needle selection, filter settings, and the origin of the potentials that are being sampled are all discussed. The term stimulated potential analysis using concentric needle electrodes (SPACE) is introduced to divert most if not all of these criticisms. Derivation of normative data from previous studies is described as well as the use of e-norm methodology on laboratory data. The chapter concludes with practical measures of how to analyse the data collected and reference is made to the cross-correlation technique for determining abnormalities.
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Michels, Andreas. Magnetic Small-Angle Neutron Scattering. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198855170.001.0001.

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This book provides the first extensive treatment of magnetic small-angle neutron scattering (SANS). The theoretical background required to compute magnetic SANS cross sections and correlation functions related to long-wavelength magnetization structures is laid out; and these concepts are scrutinized based on the discussion of experimental neutron data. Regarding prior background knowledge, some familiarity with the basic magnetic interactions and phenomena, as well as scattering theory, is desired. The target audience comprises Ph.D. students and researchers working in the field of magnetism and magnetic materials who wish to make efficient use of the magnetic SANS method. Besides revealing the origins of magnetic SANS (Chapter 1), and furnishing the basics of the magnetic SANS technique (Chapter 2), much of the book is devoted to a comprehensive treatment of the continuum theory of micromagnetics (Chapter 3), as it is relevant for the study of the elastic magnetic SANS cross section. Analytical expressions for the magnetization Fourier components allow one to highlight the essential features of magnetic SANS and to analyze experimental data both in reciprocal (Chapter 4) and real space (Chapter 6). Chapter 5 provides an overview of the magnetic SANS of nanoparticles and so-called complex systems (e.g., ferrofluids, magnetic steels, spin glasses, and amorphous magnets). It is this subfield where major progress is expected to be made in the coming years, mainly via the increased use of numerical micromagnetic simulations (Chapter 7), which is a very promising approach for the understanding of the magnetic SANS from systems exhibiting nanoscale spin inhomogeneity.
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Li, Quan. Using R for Data Analysis in Social Sciences. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190656218.001.0001.

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This book seeks to teach undergraduate and graduate students in social sciences how to use R to manage, visualize, and analyze data in order to answer substantive questions and replicate published findings. This book distinguishes itself from other introductory R or statistics books in three ways. First, targeting an audience rarely exposed to statistical programming, it adopts a minimalist approach and covers only the most important functions and skills in R that one will need for conducting reproducible research projects. Second, it emphasizes meeting the practical needs of students using R in research projects. Specifically, it teaches students how to import, inspect, and manage data; understand the logic of statistical inference; visualize data and findings via histograms, boxplots, scatterplots, and diagnostic plots; and analyze data using one-sample t-test, difference-of-means test, covariance, correlation, ordinary least squares (OLS) regression, and model assumption diagnostics. Third, it teaches students how to replicate the findings in published journal articles and diagnose model assumption violations. The principle behind this book is to teach students to learn as little R as possible but to do as much reproducible, substance-driven data analysis at the beginner or intermediate level as possible. The minimalist approach dramatically reduces the learning cost but still proves adequate information for meeting the practical research needs of senior undergraduate and beginning graduate students. Having completed this book, students can use R and statistical analysis to answer questions regarding some substantively interesting continuous outcome variable in a cross-sectional design.
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Boothroyd, Andrew T. Principles of Neutron Scattering from Condensed Matter. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198862314.001.0001.

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The book contains a comprehensive account of the theory and application of neutron scattering for the study of the structure and dynamics of condensed matter. All the principal experimental techniques available at national and international neutron scattering facilities are covered. The formal theory is presented, and used to show how neutron scattering measurements give direct access to a variety of correlation and response functions which characterize the equilibrium properties of bulk matter. The determination of atomic arrangements and magnetic structures by neutron diffraction and neutron optical methods is described, including single-crystal and powder diffraction, diffuse scattering from disordered structures, total scattering, small-angle scattering, reflectometry, and imaging. The principles behind the main neutron spectroscopic techniques are explained, including continuous and time-of-flight inelastic scattering, quasielastic scattering, spin-echo spectroscopy, and Compton scattering. The scattering cross-sections for atomic vibrations in solids, diffusive motion in atomic and molecular fluids, and single-atom and cooperative magnetic excitations are calculated. A detailed account of neutron polarization analysis is given, together with examples of how polarized neutrons can be exploited to obtain information about structural and magnetic correlations which cannot be obtained by other methods. Alongside the theoretical aspects, the book also describes the essential practical information needed to perform experiments and to analyse and interpret the data. Exercises are included at the end of each chapter to consolidate and enhance understanding of the material, and a summary of relevant results from mathematics, quantum mechanics, and linear response theory, is given in the appendices.
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Book chapters on the topic "The cross-correlation function"

1

Xing, Shanshan, Bin Wang, Xiaopeng Wei, Changjun Zhou, Qiang Zhang, and Zhonglong Zheng. "RNA Sequences Similarities Analysis by Cross-Correlation Function." In Communications in Computer and Information Science. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2829-9_9.

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Sato, Haruo, Michael C. Fehler, and Takuto Maeda. "Green’s Function Retrieval from the Cross-Correlation Function of Random Waves." In Seismic Wave Propagation and Scattering in the Heterogeneous Earth : Second Edition. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23029-5_10.

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Liau, B. Y., S. J. Yeh, and C. C. Chiu. "Assessment of Baroreflex Using Cross-Correlation Function in Diabetic Autonomic Neuropathy." In IFMBE Proceedings. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03882-2_523.

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Liau, Ben-Yi, and Shoou-Jeng Yeh. "Assessing the Effect of Antihypertensive Drug Treatment on Baroreflex Using Cross-Correlation Function." In IFMBE Proceedings. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-29305-4_108.

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Liau, Ben-Yi, and Shoou-Jeng Yeh. "Assessment of the Baroreflex in Stroke and Hypertension Patients Using Cross-Correlation Function." In IFMBE Proceedings. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-29305-4_157.

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Yin, Xin, Yaqiu Sun, Shidong Song, and Xueyan Ma. "A Target Tracking Algorithm Based on Optical Transfer Function and Normalized Cross Correlation." In The Proceedings of the Second International Conference on Communications, Signal Processing, and Systems. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00536-2_118.

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Kikuchi, Yuma, Kohei Fujita, Tsuyoshi Ichimura, Muneo Hori, and Lalith Maddegedara. "Calculation of Cross-correlation Function Accelerated by Tensor Cores with TensorFloat-32 Precision on Ampere GPU." In Computational Science – ICCS 2022. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08754-7_37.

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Toyama, Keisuke. "The Structure—Function Problem in Visual Cortical Circuitry Studied by Cross-Correlation Techniques and Multi-Channel Recordings." In Neuronal Cooperativity. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-84301-3_2.

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Yu, Zhe Feng, and Zhi Chun Yang. "Damage Detection Based on the Cross Correlation Function Amplitude Vector and its Application to the ASCE Benchmark Structure." In Key Engineering Materials. Trans Tech Publications Ltd., 2007. http://dx.doi.org/10.4028/0-87849-456-1.2317.

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Barot, Tomas, Ladislav Rudolf, and Marek Kubalcik. "Applied Analysis of Differences by Cross-Correlation Functions." In Data Analytics in System Engineering. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-53552-9_19.

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Conference papers on the topic "The cross-correlation function"

1

Meleshin, Yury M. "Effect of Cross-Correlation on the Ambiguity Function in FMCW MIMO Radars." In 2025 27th International Conference on Digital Signal Processing and its Applications (DSPA). IEEE, 2025. https://doi.org/10.1109/dspa64310.2025.10977892.

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Tian, Qilong, Naigang Cui, Hengshan Hu, Canyang Liu, Xiaojian Liu, and Youhua Fan. "Study on the Sensitivity of the Cross-Correlation Function of Target Scattering Fields Based on Ocean Background Noise." In 2024 18th Symposium on Piezoelectricity, Acoustic Waves, and Device Applications (SPAWDA). IEEE, 2024. https://doi.org/10.1109/spawda63926.2024.10878854.

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Cardoso–Isidoro, Carlos, Raul I. Hernandez–Aranda, and Benjamin Perez–Garcia. "Generation and Characterization of OAM Beams in the Partially Coherent Regime." In Latin America Optics and Photonics Conference. Optica Publishing Group, 2024. https://doi.org/10.1364/laop.2024.w2b.2.

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We report an experimental approach for the characterization of structured partially coherent light by means of the measurement of the Cross Correlation Function, involving a Spatial Light Modulator illuminated by an extended thermal source.
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Felekyan, Suren, Stanislav Kalinin, Alessandro Valeri, and Claus A. M. Seidel. "Filtered FCS and species cross correlation function." In SPIE BiOS: Biomedical Optics, edited by Ammasi Periasamy and Peter T. C. So. SPIE, 2009. http://dx.doi.org/10.1117/12.814876.

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Pistea, Ana-Maria, Hamidreza Saligheh Rad, Tudor Palade, and Ancuta Moldovan. "Cross correlation function of wideband MIMO channels." In the 6th International Wireless Communications and Mobile Computing Conference. ACM Press, 2010. http://dx.doi.org/10.1145/1815396.1815584.

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Googe, Leopold A., Sergey S. Ulyanov, and Nina G. Lebedeva. "Investigation of blood microcirculation in paradentium by cross-correlation speckle methods." In Imaging of Tissue Structure and Function, edited by Valery V. Tuchin, Qingming Luo, and Sergey S. Ulyanov. SPIE, 2001. http://dx.doi.org/10.1117/12.438418.

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Lei, Zhixiong, Li Wang, Mingbing Li, and Kuan Fan. "Reconstruction of Cross-correlation Function for Underwater Acoustical Localization." In OCEANS 2018 MTS/IEEE Charleston. IEEE, 2018. http://dx.doi.org/10.1109/oceans.2018.8604509.

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Savasta, Olga, Anton Ziolkowski, and Robert G. Pearce. "Wave‐equation traveltime inversion using 2D cross‐correlation function." In SEG Technical Program Expanded Abstracts 1997. Society of Exploration Geophysicists, 1997. http://dx.doi.org/10.1190/1.1885683.

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Yang, Jiefang, Yunhua Zhang, YunPeng Mi, and Xiaojin Shi. "SAR Ground Moving Target Imaging With Adjacent Cross Correlation function." In 2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR). IEEE, 2019. http://dx.doi.org/10.1109/apsar46974.2019.9048434.

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Sarkar, Debdeep, Yahia Antar, and Said Mikki. "Estimation of the Cross-Correlation Green’s Function for MIMO Systems." In 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting. IEEE, 2019. http://dx.doi.org/10.1109/apusncursinrsm.2019.8888939.

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Reports on the topic "The cross-correlation function"

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Alwan, Iktimal, Dennis D. Spencer, and Rafeed Alkawadri. Comparison of Machine Learning Algorithms in Sensorimotor Functional Mapping. Progress in Neurobiology, 2023. http://dx.doi.org/10.60124/j.pneuro.2023.30.03.

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Objective: To compare the performance of popular machine learning algorithms (ML) in mapping the sensorimotor cortex (SM) and identifying the anterior lip of the central sulcus (CS). Methods: We evaluated support vector machines (SVMs), random forest (RF), decision trees (DT), single layer perceptron (SLP), and multilayer perceptron (MLP) against standard logistic regression (LR) to identify the SM cortex employing validated features from six-minute of NREM sleep icEEG data and applying standard common hyperparameters and 10-fold cross-validation. Each algorithm was tested using vetted features based on the statistical significance of classical univariate analysis (p&lt;0.05) and extended () 17 features representing power/coherence of different frequency bands, entropy, and interelectrode-based distance. The analysis was performed before and after weight adjustment for imbalanced data (w). Results: 7 subjects and 376 contacts were included. Before optimization, ML algorithms performed comparably employing conventional features (median CS accuracy: 0.89, IQR [0.88-0.9]). After optimization, neural networks outperformed others in means of accuracy (MLP: 0.86), the area under the curve (AUC) (SLPw, MLPw, MLP: 0.91), recall (SLPw: 0.82, MLPw: 0.81), precision (SLPw: 0.84), and F1-scores (SLPw: 0.82). SVM achieved the best specificity performance. Extending the number of features and adjusting the weights improved recall, precision, and F1-scores by 48.27%, 27.15%, and 39.15%, respectively, with gains or no significant losses in specificity and AUC across CS and Function (correlation r=0.71 between the two clinical scenarios in all performance metrics, p&lt;0.001). Interpretation: Computational passive sensorimotor mapping is feasible and reliable. Feature extension and weight adjustments improve the performance and counterbalance the accuracy paradox. Optimized neural networks outperform other ML algorithms even in binary classification tasks. The best-performing models and the MATLAB® routine employed in signal processing are available to the public at (Link 1).
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Nieto-Castanon, Alfonso. CONN functional connectivity toolbox (RRID:SCR_009550), Version 18. Hilbert Press, 2018. http://dx.doi.org/10.56441/hilbertpress.1818.9585.

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CONN is a Matlab-based cross-platform software for the computation, display, and analysis of functional connectivity in fMRI (fcMRI). Connectivity measures include seed-to-voxel connectivity maps, ROI-to- ROI connectivity matrices, graph properties of connectivity networks, generalized psychophysiological interaction models (gPPI), intrinsic connectivity, local correlation and other voxel-to-voxel measures, independent component analyses (ICA), and dynamic component analyses (dyn-ICA). CONN is available for resting state data (rsfMRI) as well as task-related designs. It covers the entire pipeline from raw fMRI data to hypothesis testing, including spatial coregistration, ART-based scrubbing, aCompCor strategy for control of physiological and movement confounds, first-level connectivity estimation, and second-level random-effect analyses and hypothesis testing.
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Nieto-Castanon, Alfonso. CONN functional connectivity toolbox (RRID:SCR_009550), Version 20. Hilbert Press, 2020. http://dx.doi.org/10.56441/hilbertpress.2048.3738.

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CONN is a Matlab-based cross-platform software for the computation, display, and analysis of functional connectivity in fMRI (fcMRI). Connectivity measures include seed-to-voxel connectivity maps, ROI-to- ROI connectivity matrices, graph properties of connectivity networks, generalized psychophysiological interaction models (gPPI), intrinsic connectivity, local correlation and other voxel-to-voxel measures, independent component analyses (ICA), and dynamic component analyses (dyn-ICA). CONN is available for resting state data (rsfMRI) as well as task-related designs. It covers the entire pipeline from raw fMRI data to hypothesis testing, including spatial coregistration, ART-based scrubbing, aCompCor strategy for control of physiological and movement confounds, first-level connectivity estimation, and second-level random-effect analyses and hypothesis testing.
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Nieto-Castanon, Alfonso. CONN functional connectivity toolbox (RRID:SCR_009550), Version 19. Hilbert Press, 2019. http://dx.doi.org/10.56441/hilbertpress.1927.9364.

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Abstract:
CONN is a Matlab-based cross-platform software for the computation, display, and analysis of functional connectivity in fMRI (fcMRI). Connectivity measures include seed-to-voxel connectivity maps, ROI-to- ROI connectivity matrices, graph properties of connectivity networks, generalized psychophysiological interaction models (gPPI), intrinsic connectivity, local correlation and other voxel-to-voxel measures, independent component analyses (ICA), and dynamic component analyses (dyn-ICA). CONN is available for resting state data (rsfMRI) as well as task-related designs. It covers the entire pipeline from raw fMRI data to hypothesis testing, including spatial coregistration, ART-based scrubbing, aCompCor strategy for control of physiological and movement confounds, first-level connectivity estimation, and second-level random-effect analyses and hypothesis testing.
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