Relevant bibliographies by topics / Cross-correlation, cross-power spectral density

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Cross-correlation, cross-power spectral density'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "Cross-correlation, cross-power spectral density"

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Alotta, Gioacchino, Mario Di Paola, and Francesco Paolo Pinnola. "Cross-correlation and cross-power spectral density representation by complex spectral moments." International Journal of Non-Linear Mechanics 94 (September 2017): 20–27. http://dx.doi.org/10.1016/j.ijnonlinmec.2017.02.001.

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Nyeina, Oo Kyaw. "MEASUREMENT OF VIBRATION POWER FLOW IN THIN PLATE STRUCTURE WITH CROSS POWER SPECTRAL DENSITY-BASED TECHNIQUE." International Journal of Psychosocial Rehabilitation 24, no. 4 (February 28, 2020): 4703–11. http://dx.doi.org/10.37200/ijpr/v24i4/pr201570.

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Boudraa, Abdel-Ouahab, Thierry Chonavel, and Jean-Christophe Cexus. "-energy operator and cross-power spectral density." Signal Processing 94 (January 2014): 236–40. http://dx.doi.org/10.1016/j.sigpro.2013.05.022.

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Kanazawa, Kenji, and Kazuta Hirata. "Parametric estimation of the cross-power spectral density." Journal of Sound and Vibration 282, no. 1-2 (April 2005): 1–35. http://dx.doi.org/10.1016/j.jsv.2004.02.009.

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Tester, Brian J., and Stewart Glegg. "Phased array transformation methods to estimate non-compact jet noise source characteristics." International Journal of Aeroacoustics 17, no. 4-5 (May 27, 2018): 380–98. http://dx.doi.org/10.1177/1475472x18778267.

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This paper reviews the basis of the beamformer and polar correlation phased array methods and shows that these provide different information about axially distributed, non-compact noise sources, which nevertheless satisfy a simple integral relationship. The conventional beamformer method provides an image of the source power or auto spectral density, whereas the polar correlation method yields a ‘source strength’ which is an image of the axial wavenumber transform of the source cross-spectral density. However, the beamformer method can be generalised to provide an image of the source cross-spectral density. At first sight, the generalised beamformer method is therefore more useful for diagnostic purposes but the results presented here suggest that the combined effects of resolution and source convection place serious limitations on the source cross-spectral density image information. For the same reasons, although the source power or auto spectral density axial shape can be obtained with the conventional beamformer method, it cannot yield its absolute level for this type of source. The polar correlation method yields a source strength axial distribution at each ‘reference’ microphone, which when integrated over the source length, yields the far-field power or auto spectral density at that reference microphone. Therefore, the polar correlation source strength is arguably the more relevant quantity to measure when determining what proportion of the sound at a particular microphone position comes from each region of the jet axis, as a function of radiation angle.
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Zhang, Libin, Le Ma, Rui Chen, Jianfang He, Xiaojing Su, Lisong Dong, Yajuan Su, and Yayi Wei. "Pattern quality and defect evaluation based on cross correlation and power spectral density methods." Journal of Vacuum Science & Technology B 36, no. 5 (September 2018): 052902. http://dx.doi.org/10.1116/1.5040391.

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Li, Jianghui, Yechao Bai, Youwen Zhang, Fengzhong Qu, Yan Wei, and Junfeng Wang. "Cross power spectral density based beamforming for underwater acoustic communications." Ocean Engineering 216 (November 2020): 107786. http://dx.doi.org/10.1016/j.oceaneng.2020.107786.

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Zhang, Dongyu, and Erik A. Johnson. "Substructure identification for shear structures: cross-power spectral density method." Smart Materials and Structures 21, no. 5 (April 24, 2012): 055006. http://dx.doi.org/10.1088/0964-1726/21/5/055006.

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Shuter, W. L. H., R. L. Dickman, and C. Klatt. "21 cm Line Study of Large Scale Density Fluctuations in the Taurus Molecular Complex." Symposium - International Astronomical Union 115 (1987): 67–68. http://dx.doi.org/10.1017/s0074180900094900.

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21-cm spectra on a 41 × 31 grid, centered at 1950: RA 04h30m; DEC 27d00m, at points separated by a true angle of 0.25 degrees, were observed using the Arecibo telescope in October 1985. The identical grid had previously been observed in 13CO by Kleiner and Dickman (1984) with the FCRAO mm wave telescope. In this preliminary analysis we determined autocorrelation functions and power spectra for 21-cm self absorption “intensities”, for a cross passing through the central point. Both arms of the cross, aligned parallel to RA and DEC, show a power spectral peak at a frequency of 0.312 reciprocal degrees, corresponding to a period of 3.2 degrees on the sky. Assuming that the Taurus complex is at a distance of 140 pc, this corresponds to a correlation length of 7.8 pc, which is about a factor of two smaller than the value of 14 pc found by Kleiner and Dickman for 13CO.
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Brondeau, J., D. Canet, C. Millot, H. Nery, and L. Werbelow. "The direct experimental determination of a dipole–dipole cross‐correlation spectral density." Journal of Chemical Physics 82, no. 5 (March 1985): 2212–16. http://dx.doi.org/10.1063/1.448364.

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Dissertations / Theses on the topic "Cross-correlation, cross-power spectral density"

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Houghton, Andrew Warren. "Time domain filtered cross spectral density detection and direction finding of spread spectrum signals, and implementation using acousto-optic correlation." Thesis, University of Plymouth, 1996. http://hdl.handle.net/10026.1/2003.

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This thesis presents a technique for the detection of spread spectrum signals, of arbitrary form, even when the signal power spectral density (PSD) is well below the surveillance receiver noise spectral density, using a pair of antennas with broadband (1 GHz or more) receivers. Cross correlating the outputs of two receivers, spatially separated by a distance of the order of one metre or more, produces a cross correlation function (ccf) in which the noise components are spread uniformly over the whole width while the signal component, the narrow autocorrelation function (acf) of the spread spectrum signal, is concentrated near to the centre. The acf is displaced from the centre of the ccf by a small time shift equal to the time difference of arrival of the signal at the two antennas. A simple time domain filter can select a narrow centre portion of the ccf, rejecting the remainder which contains only noise. Taking the Fourier transform of this windowed ccf produces the "time domain filtered cross spectral density" (TDFCSD), in which the signal to noise ratio is independent of receiver bandwidth. Spread spectrum signals can then be both detected and characterised in an extremely sensitive broadband system by threshold detection applied to the magnitude of this TDFCSD. High resolution direction fmding can then be achieved by estimating the time difference of arrival at the two antennas from the phase slope of the appropriate part of the TDFCSD. An analysis of the performance of this dual receiver system is presented. A computer simulation illustrates the signal processing involved and shows excellent agreement with the analysis. An analysis of the detection performance of this system acting in an electronic support measure (ESM) role and comparison with other systems shows that, in addition to being able to obtain more information, this system can offer significantly greater sensitivity than a crystal video receiver. Acousto-optic correlation may be used to perform the cross correlation and time domain filtering of wideband signals in real time, with final processing of the much reduced data set to obtain and analyse the TDFCSD being carried out digitally. A novel non-heterodyning space integrating architecture capable of forming the true correlation function using the zeroth diffraction orders from acousto-optic cells was invented, the operation of which is not explained by the commonly used methods of analysis. By looking again at the acousto-optic interaction, it is shown that there is considerable information in the zeroth diffraction order and a unified theory of one dimensional space integrating correlators is developed, in which many known architectures can be treated as special cases of a general all order correlator. Because of practical difficulties in using a space integrating correlator to obtain the TDFCSD for continuous inputs, later work concentrated on time integrating correlation. Theoretical analysis and practical results are presented for a time integrating acousto-optic correlator, demonstrating that it gives itself naturally to the signal processing operations required and could be used in a real surveillance system making use of the TDFCSD for detection and direction finding.
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Mohamed, Fathi Husain Alhadi. "Mitigation of Amplitude and Phase Distortion of Signals Under Modified Von Karman Turbulence Using Encrypted Chaos Waves." University of Dayton / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1467943201.

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Kerbal, Sofiane. "Development of new criteria for train detection and evaluation in critical conditions." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-253201.

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Railway signaling is of paramount importance to ensure traffic management andsafety on the rail network. The main lines are divided into sections called ‘blocks’,which are governed by a fixed signal installation. To prevent trains from colliding,each block allows one train at once. In France (and most European countries),train detection is performed by an electrical device called track circuit that consistsof a transmitter and a receiver installed at the track-side, and connected via therails. In the absence of a train, an electrical signal flows from the transmitter tothe receiver through the rails. As a train enters a track circuit, its axles shuntthe rails, provoking a short circuit (also called ‘shunt’): the signal transmitted tothe receiver drops. The detection of that signal drop results in the detection of atrain. This method rarely fails throughout the network, but there can be criticalcases where it may be inefficient. In this Master’s Thesis, new detection criteriaproposed in previous studies have been tested on signals measured in poor shuntingconditions. Three approaches have been tested: one in the time domain and two inthe frequency domain. The time approach compares the short-term and long-termstatistics of the received signals. The observation of a change in the spectra of thereceived signals around the 3rd order harmonic (3OH) has led to the implementationof two frequency criteria: the estimation of the band power around the 3OH andthe detection of the 3OH peaks. The obtained results show that better detection isachieved when the new criteria and the existing one are combined.
Tågsignalsystem är väsentliga för att garantera trafikstyrning och säkerhet i tågnätet.Spåren är indelade i sektioner, s.k. block, som övervakas med fasta signalinstallationer.För att hindra tåg från att krocka, tillåts bara ett tåg i taget per block. IFrankrike (och de flesta andra europeiska länder), detekteras tågen med en elektriskspårkrets som består av en sändare och en mottagare som är installerad bredvidspåret och ansluten till rälsen. När inget tåg finns på spåret, flyter en elektrisk signalfrån sändaren till mottagaren via spåret. När ett tåg anländer, kortsluts kretsenav hjulaxeln och signalen försvinner från mottagaren. Minskningen i signalstyrkaanvänds för att detektera tåget. Denna metod sällan misslyckas i tågnätet, men iovanliga fall kan det uppstå farliga situationer. I detta examensarbete utvärderasnya detektionsmetoder, som har föreslagits i tidigare studier, på signaler som haruppmätts under förhållanden med dålig kontakt mellan hjul och spår. Tre olika metoderhar testats, en i tidsdomänen och två i frekvensdomänen. Tidsdomänsmetodenjämför kortvarig och långvarig statistik för den mottagna signalen. I spektrum förden mottagna signalen, har man observerat en förändring runt den tredje övertonen,samt detektering av frekvenstoppar vid tredje övertonen. De erhållna resultatenvisar på förbättrad detektering när de nya och existerande kriterierna kombineras.
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Vowels, Matthew James. "THE APPLICATION OF SPECTRAL AND CROSS-SPECTRAL ANALYSIS TO SOCIAL SCIENCES DATA." UKnowledge, 2018. https://uknowledge.uky.edu/hes_etds/58.

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The primary goal of this paper is to demonstrate the application of a relatively esoteric and interdisciplinary technique, called spectral analysis, to dyadic social sciences data. Spectral analysis is an analytical and statistical technique, commonly used in engineering, that allows times series data to be analyzed for the presence of significant regular/periodic fluctuations/oscillations. These periodic fluctuations are reflected in the frequency domain as amplitude or energy peaks at certain frequencies. Furthermore, a Magnitude Squared Coherence analysis may be used to interrogate more than one time series concurrently in order to establish the degree of frequency domain correlation between the two series, as well to establish the phase (lead/lag) relationship between the coherent frequency components. In order to demonstrate the application of spectral analysis, the current study utilizes a secondary dyadic dataset comprising 30 daily reports of perceived sexual desire for 65 couples. The secondary goal of this paper is to establish a) whether there is significant periodic fluctuation in perceived levels of sexual desire for men and/or women, and at which specific frequencies, and b) how much correlation or `cross-spectral coherence' there is between partners' sexual desire within the dyads, and c) what the phase lead-lag relationship is between the partners at any of the identified frequency components. Sexual desire was found to have significant periodic components for both men and women, with a fluctuation of once per month being the most common frequency component across the groups of individuals under analysis. Mathematical models are presented in order to describe and illustrate these principal fluctuations. Partners in couples, on average, were found to fluctuate together at a number of identified frequencies, and the phase lead/lag relationships of these frequencies are presented.
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Chang, Soo-Young, Maria C. Gonzalez, James A. McCorduck, and Kamilo Feher. "ANALYSIS OF CYCLOSTATIONARY AND SPECTRAL CORRELATION OF FEHER-KEYING (FK) SIGNALS." International Foundation for Telemetering, 2002. http://hdl.handle.net/10150/605601.

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International Telemetering Conference Proceedings / October 21, 2002 / Town & Country Hotel and Conference Center, San Diego, California
Feher Keying (FK) signals are clock shaped baseband waveforms with the potential to attain very high spectral efficiencies. Two FK signals which have different level rectangular waveforms (named as FK-1) or sinusoidal waveforms (named as FK-2) for two binary symbols are considered in this paper. These signals have periodic components in the time domain. Therefore they have cyclostationary properties. This means that spectral correlation exists in the frequency domain. For each type of waveforms, spectral correlation has been investigated. FK signals can be expressed mathematically into two parts in the frequency domain – discrete part and continuous part. The discrete part has one or more discrete impulse(s) in their spectra and the continuous part has periodically the same shape of harmonics in their spectra. The correlations of their spectra have been obtained mathematically and by simulation. It is shown that FK signals have high correlation related to the symbol rate. Finally, some suggestions how these properties can be used to improve their performance by devising better demodulators are discussed. These properties can be used for interference rejection at the receiver, which results in low bit error rate performance.
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Rachdi, Mustapha. "Choix de la largeur de fenêtre spectrale par validation croisée. Analyse spectrale p-adique." Rouen, 1998. http://www.theses.fr/1998ROUES002.

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Dans ce travail, nous nous intéressons aux aspects théorique et pratique de l'estimation d'une densité spectrale par la méthode du noyau. Ce travail est constitué de deux parties. Dans la première partie, nous considérons les propriétés asymptotiques de l'estimateur à noyau. Ces propriétés dépendent essentiellement du paramètre de lissage et de la régularité de la densité spectrale. Nous montrons que, comme dans la plupart des problèmes d'estimation fonctionnelle, le choix du paramètre de lissage joue un rôle crucial dans le comportement asymptotique de l'estimateur. Dans un second temps, nous abordons, dans le cadre d'un processus à temps discret (avec ou sans hypothèse de mélangeance), le problème de la sélection du paramètre de lissage. Ensuite nous étendons les résultats obtenus au cas des processus a temps continu (toujours avec ou sans hypothèse de mélangeance). Plus précisément, nous proposons (dans chaque cas) un critère de sélection de la largeur de fenêtre basé sur la validation croisée. Des résultats d'optimalité de la fenêtre sélectionnée sont établis. Les résultats théoriques obtenus concernant le choix de la fenêtre sont illustrés par des simulations. Dans la seconde partie, nous établissons et étudions le comportement asymptotique d'un estimateur à noyau de la densité spectrale p-adique à partir d'observations certaines. Ensuite, nous établissons et étudions le comportement asymptotique d'un estimateur de la densité spectrale p-adique à partir d'un échantillonnage aléatoire. Enfin, nous estimons et étudions le comportement asymptotique d'un estimateur de la densité de la mesure spectrale mixte p-adique par la méthode du double noyau.
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Nasser, Abbass. "Spectrum sensing for half and full-duplex interweave cognitive radio systems." Thesis, Brest, 2017. http://www.theses.fr/2017BRES0006/document.

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En raison de la demande croissante de services de communication sans fil et de la limitation des ressources de spectre, la radio cognitive (CR) a été initialement proposée pour résoudre la pénurie de spectre. CR divise les systèmes transmetteurs-récepteurs de communication en deux catégories : les Utilisateurs Principaux (PU) et les Utilisateurs Secondaires (SU). PU a le droit légal d'utiliser la bande spectrale, tandis que SU est un utilisateur opportuniste qui peut transmettre sur cette bande chaque fois qu'elle est vacante afin d'éviter toute interférence avec le signal de PU. De ce fait, la détection des activités de PU devient une priorité principale pour toute CR.Le Spectrum Sensing devient ainsi une partie importante d’un système CR, qui surveille les transmissions de PU. En effet, le Spectrum Sensing joue un rôle essentiel dans le mécanisme du fonctionnement du CR en localisant les canaux disponibles et, d'autre part, en protégeant les canaux occupés des interférences de la transmission SU. En fait, Spectrum Sensing a gagné beaucoup d'attention au cours de la dernière décennie, et de nombreux algorithmes sont proposés. Concernant la fiabilité de la performance, plusieurs défis comme le faible rapport signal sur bruit, l'incertitude de bruit (NU), la durée de détection du spectre, etc. Cette thèse aborde les défis de la détection du spectre et apporte quelques solutions. De nouveaux détecteurs basés sur la détection des caractéristiques cyclo-stationnaires et la densité spectrale de puissance (PSD) du signal de PU sont présentés. Un algorithme de test de signification de corrélation canonique (CCST) est proposé pour effectuer une détection cyclo-stationnaire. CCST peut détecter la présence des caractéristiques cycliques communes parmi les versions retardées du signal reçu. Ce test peut révéler la présence d'un signal cyclo-stationnaire dans le signal de mélange reçu. Une autre méthode de détection basée sur la PSD cumulative est proposée. En supposant que le bruit est blanc (sa PSD est plate), la PSD cumulative s'approche d'une droite. Cette forme devient non linéaire pour les signaux de télécommunication. Distinguer la forme cumulative PSD peut donc conduire à diagnostiquer l'état du canal.La radio cognitive Full-Duplex (FD-CR) a également été étudiée dans ce manuscrit, où plusieurs défis sont analysés en proposant de nouvelles contributions. Le fonctionnement FD permet au CR d'éviter la période de silence pendant la détection du spectre. Dans le système CR classique, le SU cesse de transmettre pendant la détection du spectre afin de ne pas affecter la fiabilité de détection. Dans FD-CR, SU peut éliminer la réflexion de son signal transmis et en même temps réaliser le Spectrum Sensing. En raison de certaines limitations, le résidu de l'auto-interférence ne peut pas être complètement annulé, alors la crédibilité de la détection du spectre est fortement affectée. Afin de réduire la puissance résiduelle, une nouvelle architecture de récepteur SU est élaborée pour atténuer les imperfections du circuit (comme le bruit de phase et la distorsion non linéaire de l'amplificateur à faible bruit du récepteur). La nouvelle architecture montre sa robustesse en assurant une détection fiable et en améliorant le débit de SU
Due to the increasing demand of wireless communication services and the limitation in the spectrum resources, Cognitive Radio (CR) has been initially proposed in order to solve the spectrum scarcity. CR divides the communication transceiver into two categories: the Primary (PU) or the Secondary (SU) Users. PU has the legal right to use the spectrum bandwidth, while SU is an opportunistic user that can transmit on that bandwidth whenever it is vacant in order to avoid any interference to the signal of PU. Hence the detection of PU becomes a main priority for CR systems. The Spectrum Sensing is the part of the CR system, which monitors the PU activities. Spectrum Sensing plays an essential role in the mechanism of the CR functioning. It provides CR with the available channel in order to access them, and on the other hand, it protects occupied channels from the interference of the SU transmission. In fact, Spectrum Sensing has gained a lot of attention in the last decade, and numerous algorithms are proposed to perform it. Concerning the reliability of the performance, several challenges have been addressed, such as the low Signal to Noise Ratio (SNR), the Noise Uncertainty (NU), the Spectrum Sensing duration, etc. This dissertation addresses the Spectrum Sensing challenges and some solutions are proposed. New detectors based on Cyclo-Stationary Features detection and the Power Spectral Density (PSD) of the PU are presented. CanonicalCorrelation Significance Test (CCST) algorithm is proposed to perform cyclo-stationary detection. CCST can detect the presence of the common cyclic features among the delayed versions of the received signal. This test can reveal the presence of a cyclo-stationary signal in the received mixture signal. Another detection method based on the cumulative PSD is proposed. By assuming the whiteness of the noise (its PSD is at), the cumulative PSD approaches a straight line. This shape becomes non-linear when a telecommunication signal is present in the received mixture. Distinguishing the Cumulative PSD shape may lead to diagnose the channel status.Full-Duplex Cognitive Radio (FD-CR) has been also studied in this manuscript, where several challenges are analyzed by proposing a new contribution. FD functioning permits CR to avoid the silence period during the Spectrum Sensing. In classical CR system, SU stops transmitting during the Spectrum Sensing in order to do not affect the detection reliability. In FD-CR, SU can eliminate the reflection of its transmitted signal and at the same time achieving the Spectrum Sensing. Due to some limitations, the residual of the Self Interference cannot be completely cancelled, then the Spectrum Sensing credibility is highly affected. In order to reduce the residual power, a new SU receiver architecture is worked out to mitigate the hardware imperfections (such as the Phase Noise and the Non-Linear Distortion of the receiver Low-Noise Amplifier). The new architecture shows its robustness by ensuring a reliable detection and enhancing the throughput of SU
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OLIVEIRA, ANA C. F. de. "Estudo dos efeitos da radiação gama no polietileno linear de baixa densidade (PELBD) injetado." reponame:Repositório Institucional do IPEN, 2014. http://repositorio.ipen.br:8080/xmlui/handle/123456789/11803.

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Submitted by Claudinei Pracidelli (cpracide@ipen.br) on 2014-11-10T11:49:28Z No. of bitstreams: 0
Made available in DSpace on 2014-11-10T11:49:28Z (GMT). No. of bitstreams: 0
Dissertação (Mestrado em Tecnologia Nuclear)
IPEN/D
Instituto de Pesquisas Energeticas e Nucleares - IPEN-CNEN/SP
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Sun, Cathy J. "Concordance and Discordance Between Non-High-Density Lipoprotein Cholesterol and Apolipoprotein B as Cardiovascular Disease Risk Markers over the Full Spectrum of Hypertriglyceridemia: A Cross-sectional Analysis of Lipid Clinic Data." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/41980.

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Cardiovascular disease is a leading cause of morbidity and mortality worldwide. Lipid biomarkers are frequently used for prediction of cardiovascular disease risk. Triglycerides are routinely checked in blood work, and triglycerides are a key component of lipoproteins that contribute to atherogenic plaques, which cause cardiovascular disease. High triglycerides are a common condition in the general population. The relative effect of high triglycerides on the lipid biomarkers (non-high-density lipoprotein cholesterol, and apolipoprotein B) for cardiovascular disease risk prediction is the focus of this thesis. Using cross-sectional lipid profile data from a large Lipid Clinic, we compared the correlation and concordance between non-high-density lipoprotein cholesterol and apolipoprotein B as cardiovascular disease risk markers among patients with mild, moderate, and severe hypertriglyceridemia. The findings showed that with higher triglycerides, there is lower agreement between the two biomarkers, which raises caution that they are not interchangeable, and further research is needed.
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Snyder, Mark Alan. "Long-Term Ambient Noise Statistics in the Gulf of Mexico." ScholarWorks@UNO, 2007. http://scholarworks.uno.edu/td/595.

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Long-term omni-directional ambient noise was collected at several sites in the Gulf of Mexico during 2004 and 2005. The Naval Oceanographic Office deployed bottom moored Environmental Acoustic Recording System (EARS) buoys approximately 159 nautical miles south of Panama City, Florida, in water depths of 3200 meters. The hydrophone of each buoy was 265 meters above the bottom. The data duration ranged from 10-14 months. The buoys were located near a major shipping lane, with an estimated 1.5 to 4.5 ships per day passing nearby. The data were sampled at 2500 Hz and have a bandwidth of 10-1000 Hz. Data are processed in eight 1/3-octave frequency bands, centered from 25 to 950 Hz, and monthly values of the following statistical quantities are computed from the resulting eight time series of noise spectral level: mean, median, standard deviation, skewness, kurtosis and coherence time. Four hurricanes were recorded during the summer of 2004 and they have a major impact on all of the noise statistics. Noise levels at higher frequencies (400-950 Hz) peak during extremely windy months (summer hurricanes and winter storms). Standard deviation is least in the region 100-200 Hz but increases at higher frequencies, especially during periods of high wind variability (summer hurricanes). Skewness is positive from 25-400 Hz and negative from 630-950 Hz. Skewness and kurtosis are greatest near 100 Hz. Coherence time is low in shipping bands and high in weather bands, and it peaks during hurricanes. The noise coherence is also analyzed. The 14-month time series in each 1/3- octave band is highly correlated with other 1/3-octave band time series ranging from 2 octaves below to 2 octaves above the band's center frequency. Spatial coherence between hydrophones is also analyzed for hydrophone separations of 2.29, 2.56 and 4.84 km over a 10-month period. The noise field is highly coherent out to the maximum distance studied, 4.84 km. Additionally, fluctuations of each time series are analyzed to determine time scales of greatest variability. The 14-month data show clearly that variability occurs primarily over three time scales: 7-22 hours (shipping-related), 56-282 hours (2-12 days, weather-related) and over an 8-12 month period.
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Book chapters on the topic "Cross-correlation, cross-power spectral density"

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Xu, Lang, Steven Chatterton, and Paolo Pennacchi. "Condition Monitoring of Rolling Element Bearing Based on Moving Average Cross-Correlation of Power Spectral Density." In Advances in Mechanism and Machine Science, 3411–18. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20131-9_336.

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Hashimoto, Kengo. "Subcriticality." In Accelerator-Driven System at Kyoto University Critical Assembly, 13–49. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0344-0_2.

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AbstractFor a subcritical reactor system driven by a periodically pulsed spallation neutron source in KUCA, the Feynman-α and the Rossi-α neutron correlation analyses are conducted to determine the prompt neutron decay constant and quantitatively to confirm a non-Poisson character of the neutron source. The decay constant determined from the present Feynman-α analysis well agrees with that from a previous analysis for the same subcritical system driven by an inherent source. Considering the effect of a higher mode excited, the disagreement can be successfully resolved. The power spectral analysis on frequency domain is also carried out. Not only the cross-power but also the auto-power spectral density have a considerable correlated component even at a deeply subcritical state, where no correlated component could be previously observed under a 14 MeV neutron source. The indicator of the non-Poisson character of the present spallation source can be obtained from the spectral analysis and is consistent with that from the Rossi-α analysis. An experimental technique based on an accelerator-beam trip or restart operation is proposed to determine the subcritical reactivity of ADS. Applying the least-squares inverse kinetics method to the data analysis, the subcriticality can be inferred from time-sequence neutron count data after these operations.
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Kim, Kisik, and Dae-Yoon Park. "P-Representation of Cross Spectral Density." In Coherence and Quantum Optics VII, 655–56. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-9742-8_198.

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Gan, Woon Siong. "Convolution, Correlation, and Power Spectral Density." In Signal Processing and Image Processing for Acoustical Imaging, 21–30. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-10-5550-8_6.

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Domnick, J., H. Ertel, and C. Tropea. "Processing of Phase-Doppler Signals Using the Cross-Spectral Density Function." In Applications of Laser Anemometry to Fluid Mechanics, 473–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-83844-6_26.

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Suárez-Romero, J. G., and E. Tepichin-Rodríguez. "Fresnel diffraction of circular apertures illuminated with partially-coherent light: cross spectral density propagation." In Coherence and Quantum Optics VIII, 389–90. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4419-8907-9_83.

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Elnaggar, Hebatalla, Pieter Glatzel, Marius Retegan, Christian Brouder, and Amélie Juhin. "X-ray Dichroisms in Spherical Tensor and Green’s Function Formalism." In Springer Proceedings in Physics, 83–130. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64623-3_4.

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AbstractIn this book chapter, our goal is to provide experimentalists and theoreticians with an accessible approach to the measurement or calculation of X-ray dichroisms in X-ray absorption spectroscopy (XAS). We start by presenting the key ideas of different calculation methods such as density functional theory (DFT) and ligand-field multiplet (LFM) theory and discuss the pros and cons for each approach. The second part of the chapter is dedicated to the expansion of the XAS cross section using spherical tensors for electric dipole and quadrupole transitions. This expansion enables to identify a set of linearly independent spectra that represent the smallest number of measurements (or calculations) to be performed on a sample, in order to extract all spectroscopic information. Examples of the different dichroic effects which can be expected depending on the type of transitions and on the symmetry of the system are then given.
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Berber, Stevan. "Deterministic Discrete-Time Signal Transforms." In Discrete Communication Systems, 714–96. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198860792.003.0015.

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Chapter 15 presents a detailed analysis of discrete-time signals and systems in the frequency domain, including the theory of the discrete Fourier series, the discrete-time Fourier transform, and the discrete Fourier transform, and key examples relevant for the analysis and synthesis of signals processed in the discrete transceiver blocks of a communication system. Amplitude spectra, magnitude spectra, phase spectra, and power spectra are defined and calculated for typical signals. Using a unique notation that distinguishes between energy signals and power signals, the correlation function and power or energy spectral density functions are inter-related by proving the Wiener–Khintchine theorem. A comprehensive analysis of linear-time-invariant systems, using the notions of impulse responses, correlation functions, and power spectral densities for both power and energy signals, is presented. The basic theory of the z-transform is also presented.
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Berber, Stevan. "Transforms of Deterministic Continuous-Time Signals." In Discrete Communication Systems, 599–673. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198860792.003.0012.

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Chapter 12 presents a detailed analysis of continuous-time signals and systems in the frequency domain, including the theory of Fourier series and Fourier transforms, and key examples relevant for the analysis and synthesis of signals processed in the digital transceiver blocks of a communication system. The amplitude, magnitude, phase, and power spectra are defined and calculated for typical signals. In particular, the Fourier transform of periodic signals is presented, due to its importance in communication systems theory and practice. Using a unique notation that distinguishes energy and power signals, the correlation, power, and energy spectral density functions are inter-related by proving the Wiener–Khintchine theorem. A comprehensive analysis of a linear-time-invariant system, using the concepts of impulse response, system correlation function, and power spectral density, both for power signals and energy signals, is presented. In addition, Parseval’s theorem and the Rayleigh theorem are proven.
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"Analytical Evaluation of Cross-Spectral Density of Generalized Forces." In Studies in Applied Mechanics, 288–89. Elsevier, 1994. http://dx.doi.org/10.1016/b978-0-444-81624-5.50019-4.

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Conference papers on the topic "Cross-correlation, cross-power spectral density"

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Nur, H. I., M. S. Anuar, S. A. Aljunid, and M. Zuliyana. "Innoval Zero Cross Correlation for spectral power density efficiency." In 2013 IEEE 4th International Conference on Photonics (ICP). IEEE, 2013. http://dx.doi.org/10.1109/icp.2013.6687125.

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Ortiz, A. Albert, and Frank Lu. "Detection of Wave Propagation by Nonstationary Cross-Correlation and Cross-Spectral Density Phase." In 39th AIAA Fluid Dynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2009. http://dx.doi.org/10.2514/6.2009-3577.

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Akanksha, Pranab Samanta, Kayapanda Mandana, and Goutam Saha. "Identification of Coronary Artery Disease using Cross Power Spectral Density." In 2017 14th IEEE India Council International Conference (INDICON). IEEE, 2017. http://dx.doi.org/10.1109/indicon.2017.8487905.

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Mikola, Annika, Mika OK Sarkela, Timothy S. Walsh, and Tarmo Lipping. "Power Spectrum and Cross Power Spectral Density Based EEG Correlates of Intensive Care Delirium." In 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2019. http://dx.doi.org/10.1109/embc.2019.8857254.

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Nishihara, Takashi, Fumio Inada, Akira Yasuo, Ryo Morita, Akihiro Sakashita, and Jun Mizutani. "Turbulence-Induced Fluid Dynamic Forces Acting on Cross-Shaped Tube Bundle in Cross Flow." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-32758.

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A cross-shaped tube bundle with dense arrangement may be designed for a lower plenum structure in a next generation LWR, though the characteristics of flow-induced vibration of this type of tube bundle remain virtually unknown. In this study, turbulence-induced fluid dynamic forces acting on a cross-shaped tube bundle with a dense arrangement subject to cross flow were measured by water tunnel tests with two types of scale models. One is a small-scale model to measure local fluid dynamic forces and their correlation length in the lift and drag direction. The other is a large-scale model to investigate the effect of the Reynolds number on fluid dynamic forces in the lift, drag and torsional directions. Free oscillation tests with another small-scale model were also conducted to measure vibration amplitude by random excitation force. In conclusion, the following results were obtained. Vortex-induced vibration cannot arise in the cross-shaped tube bundle, since a typical peak corresponding to periodic vortex shedding was not observed in power spectral density for fluid excitation force. Power spectral densities of fluid dynamic forces in the drag, lift and torsional directions have mutually similar properties and they are hardly dependent on the Reynolds number. The experimental results were compiled into dimensionless correlation equations composed of the power spectral density for the local fluid excitation force and its correlation length. They are useful for evaluating the random vibration amplitude. The estimated amplitudes of turbulence-induced vibration by the correlation equation coincide with those of the experimental results obtained by the free-oscillation tests.
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Xing, Guangzhen, Minda Dai, Ping Yang, Longbiao He, and Yuebing Wang. "High intensity focused ultrasound power measurement based on cross-spectral density technique." In 2019 International Congress on Ultrasonics. ASA, 2019. http://dx.doi.org/10.1121/2.0001127.

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Inada, Fumio, Takashi Nishihara, Akira Yasuo, Ryo Morita, Akihiro Sakashita, and Jun Mizutani. "Flow-Induced Vibration of Cross-Shaped Tube Bundle: The Effect of Tube Bundle Arrangement." In ASME 2003 Pressure Vessels and Piping Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/pvp2003-2073.

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A cross-shaped tube bundle is proposed for the lower plenum structure in the next-generation LWR. The effect of tube bundle arrangement on the flow-induced vibration characteristics of the cross-shaped tube bundle in cross flow was considered experimentally. Regarding random vibration, the power spectral density of the fluid force of the staggered arrangement as well as the correlation length was measured and those of the normal arrangement were compared with those of the staggered arrangement. Regarding self-excited vibration, vibration response was compared. The trend of the power spectral densities, correlation length, and the critical velocity of the normal arrangement were similar to those of the staggered arrangement.
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Yashchuk, Valeriy V., Steve C. Irick, Eric M. Gullikson, Malcolm R. Howells, Alastair A. MacDowell, Wayne R. McKinney, Farhad Salmassi, and Tony Warwick. "Cross-check of different techniques for two-dimensional power spectral density measurements of x-ray optics." In Optics & Photonics 2005, edited by Lahsen Assoufid, Peter Z. Takacs, and John S. Taylor. SPIE, 2005. http://dx.doi.org/10.1117/12.619892.

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Hoang, Poul, Zheng-Hua Tan, Thomas Lunner, Jan Mark de Haan, and Jesper Jensen. "Maximum Likelihood Estimation of the Interference-Plus-Noise Cross Power Spectral Density Matrix for Own Voice Retrieval." In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020. http://dx.doi.org/10.1109/icassp40776.2020.9053988.

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Ka¨rna¨, Tuomo, Yan Qu, and Walter L. Ku¨hnlein. "A New Spectral Method for Modeling Dynamic Ice Actions." In ASME 2004 23rd International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2004. http://dx.doi.org/10.1115/omae2004-51360.

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This paper presents a method of evaluating the response of a vertical offshore structure that is subjected to dynamic ice actions. The model concerns a loading scenario where a uniform ice sheet is drifting and crushing against the structure. Full scale data obtained at the lighthouse Norstro¨msgrund is used in the derivation of a method that applies both to narrow and wide structures. A large amount of events with directly measured local forces was used to derive formulas for spectral density functions of the ice force. A non-dimensional formula that was derived for the autospectrum applies for all ice thicknesses. Coherence functions are used to define the cross-spectra of the local ice forces. The two kind of spectral density functions for local forces can be used to evaluate the spectral density of the total ice force. The method takes account of both the spatial and time correlation between the local forces. Accordingly, the model provides a tool to consider the non-simultaneous characteristics of the local ice pressures while assessing the total ice force. The model can be used in conjunction with general purpose FE programs to evaluate the dynamic response of an offshore structure.
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