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Journal articles on the topic 'Spectral and temporal analysis'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Narogan, M. V., G. V. Yatsyk, E. V. Syutkina, A. V. Masalov, and I. I. Malkova. "Spectral and spectral-temporal heart rate analysis in newborns." Human Physiology 33, no. 4 (2007): 433–40. http://dx.doi.org/10.1134/s0362119707040093.

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Zaveri, H. P., L. D. Iasemidis, J. C. Sackellares, W. J. Williams, and T. W. Hood. "Multichannel Spectral Analysis in Temporal Lobe Epilepsy." Journal of Clinical Neurophysiology 5, no. 4 (1988): 340. http://dx.doi.org/10.1097/00004691-198810000-00043.

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3

Berloff, P., and I. Kamenkovich. "On Spectral Analysis of Mesoscale Eddies. Part II: Nonlinear Analysis." Journal of Physical Oceanography 43, no. 12 (2013): 2528–44. http://dx.doi.org/10.1175/jpo-d-12-0233.1.

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Abstract Several turbulent flow regimes of an idealized ocean circulation model are systematically analyzed in physical and spectral domains. Zonal dispersion properties of transient mesoscale eddies are described by the zonal wavenumber/temporal frequency spectra. The eddy patterns and the corresponding nonlinear eddy forcing exerted on the jets are examined by filtering different parts of the spectra. Comparison of the outcome of this nonlinear analysis with the properties of the linearized solutions (obtained in Part I of this paper) demonstrates that a very substantial part of the flow dyn

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Cho, Yang-Jin, So-Yoen Kim, Mi Rang Son, Ho-Jin Son, Dae Won Cho, and Sang Ook Kang. "Time-resolved spectroscopic analysis of the light-energy harvesting mechanism in carbazole-dendrimers with a blue-phosphorescent Ir-complex core." Physical Chemistry Chemical Physics 19, no. 30 (2017): 20093–100. http://dx.doi.org/10.1039/c7cp01989k.

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Mayer, Dennis, Fabiano Lever, and Markus Gühr. "Data analysis procedures for time-resolved x-ray photoelectron spectroscopy at a SASE free-electron-laser." Journal of Physics B: Atomic, Molecular and Optical Physics 55, no. 5 (2022): 054002. http://dx.doi.org/10.1088/1361-6455/ac3c91.

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Abstract The random nature of self-amplified spontaneous emission (SASE) is a well-known challenge for x-ray core level spectroscopy at SASE free-electron lasers (FELs). Especially in time-resolved experiments that require a combination of good temporal and spectral resolution the jitter and drifts in the spectral characteristics, relative arrival time as well as power fluctuations can smear out spectral-temporal features. We present a combination of methods for the analysis of time-resolved photoelectron spectra based on power and time corrections as well as self-referencing of a strong photo

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Geoga, Christopher J., Charlotte L. Haley, Andrew R. Siegel, and Mihai Anitescu. "Frequency–wavenumber spectral analysis of spatio-temporal flows." Journal of Fluid Mechanics 848 (June 8, 2018): 545–59. http://dx.doi.org/10.1017/jfm.2018.366.

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We propose a fully spatio-temporal approach for identifying spatially varying modes of oscillation in fluid dynamics simulation output by means of multitaper frequency–wavenumber spectral analysis. One-dimensional spectrum estimation has proven to be a valuable tool in the analysis of turbulence data applied spatially to determine the rate of energy transport between spatial scales, or temporally to determine frequencies of oscillatory flows. It also allows for the quantitative comparison of flow characteristics between two scenarios using a standard basis. It has the limitation, however, that

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Zhang, Yi-Qing, Xiang Li, and Athanasios V. Vasilakos. "Spectral Analysis of Epidemic Thresholds of Temporal Networks." IEEE Transactions on Cybernetics 50, no. 5 (2020): 1965–77. http://dx.doi.org/10.1109/tcyb.2017.2743003.

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ROWLEY, CLARENCE W., IGOR MEZIĆ, SHERVIN BAGHERI, PHILIPP SCHLATTER, and DAN S. HENNINGSON. "Spectral analysis of nonlinear flows." Journal of Fluid Mechanics 641 (November 18, 2009): 115–27. http://dx.doi.org/10.1017/s0022112009992059.

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We present a technique for describing the global behaviour of complex nonlinear flows by decomposing the flow into modes determined from spectral analysis of the Koopman operator, an infinite-dimensional linear operator associated with the full nonlinear system. These modes, referred to as Koopman modes, are associated with a particular observable, and may be determined directly from data (either numerical or experimental) using a variant of a standard Arnoldi method. They have an associated temporal frequency and growth rate and may be viewed as a nonlinear generalization of global eigenmodes

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Devi, A. Senorita. "Spectral and Temporal Properties of CXOUJ122956.7+075728 (ULX-1), an Ultraluminous X-Ray Source in NGC 4472." East European Journal of Physics, no. 1 (March 5, 2024): 95–101. http://dx.doi.org/10.26565/2312-4334-2024-1-07.

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This report presents a comprehensive analysis of the spectral and temporal characteristics of a highly significant Ultraluminous X-ray Source (ULX) designated as CXOUJ122956.7+075728 (ULX-1) situated in the elliptical galaxy NGC 4472 within the Virgo cluster. ULX-1 exhibits a soft spectral state, featuring a cool accretion disk component with kTin ∼ 0.15 keV, accompanied by a power-law tail displaying a steep power-law photon index, Γ ∼ 2.8. The spectral findings strongly support an estimated black hole mass of approximately 3.30 × 103 M⊙ under an isotropic emission model, and around 1.47 × 10

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Lopez-Fornieles, Eva, Guilhem Brunel, Nicolas Devaux, Jean-Michel Roger, James Taylor, and Bruno Tisseyre. "Application of Parallel Factor Analysis (PARAFAC) to the Regional Characterisation of Vineyard Blocks Using Remote Sensing Time Series." Agronomy 12, no. 10 (2022): 2544. http://dx.doi.org/10.3390/agronomy12102544.

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Monitoring wine-growing regions and maximising the value of production based on their region/local specificities requires accurate spatial and temporal monitoring. The increasing amount and variability of information from remote sensing data is a potential tool to assess this challenge for the grape and wine industry. This article provides a first insight into the capacity of a multiway analysis method applied to Sentinel-2 time series to assess the value of simultaneously considering spectral and temporal information to highlight site-specific canopy evolution in relation to environmental fac

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11

Souza, Pamela E., Richard A. Wright, Michael C. Blackburn, Rachael Tatman, and Frederick J. Gallun. "Individual Sensitivity to Spectral and Temporal Cues in Listeners With Hearing Impairment." Journal of Speech, Language, and Hearing Research 58, no. 2 (2015): 520–34. http://dx.doi.org/10.1044/2015_jslhr-h-14-0138.

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Purpose The present study was designed to evaluate use of spectral and temporal cues under conditions in which both types of cues were available. Method Participants included adults with normal hearing and hearing loss. We focused on 3 categories of speech cues: static spectral (spectral shape), dynamic spectral (formant change), and temporal (amplitude envelope). Spectral and/or temporal dimensions of synthetic speech were systematically manipulated along a continuum, and recognition was measured using the manipulated stimuli. Level was controlled to ensure cue audibility. Discriminant functi

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Hamarbitan, N. S., and G. F. Margrave. "Spectral analysis of a ghost." GEOPHYSICS 66, no. 4 (2001): 1267–73. http://dx.doi.org/10.1190/1.1487074.

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A seismic line was shot such that the source‐ghost effect from two different dynamite source patterns could be compared. Two 15‐shot seismic datasets were created that were identical in all respects except that one used 4 kg of explosives in a single 18‐m hole, while the other used 2 kg of explosives in each of two 9‐m holes. After identical processing, the final stacked sections of the 18‐m and 9‐m datasets are dramatically different in character and temporal resolution. An f‐x spectral analysis of the stacked sections reveals that the 18‐m data shows a loss in power and phase coherence from

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Valiveti, Hima Bindu, Anil Kumar B., Lakshmi Chaitanya Duggineni, Swetha Namburu, and Swaraja Kuraparthi. "Soft computing based audio signal analysis for accident prediction." International Journal of Pervasive Computing and Communications 17, no. 3 (2021): 329–48. http://dx.doi.org/10.1108/ijpcc-08-2020-0120.

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Purpose Road accidents, an inadvertent mishap can be detected automatically and alerts sent instantly with the collaboration of image processing techniques and on-road video surveillance systems. However, to rely exclusively on visual information especially under adverse conditions like night times, dark areas and unfavourable weather conditions such as snowfall, rain, and fog which result in faint visibility lead to incertitude. The main goal of the proposed work is certainty of accident occurrence. Design/methodology/approach The authors of this work propose a method for detecting road accid

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Gonzalez, A. G., L. C. Gallo, P. Kosec, et al. "Characterizing continuum variability in the radio-loud narrow-line Seyfert 1 galaxy IRAS 17020+4544." Monthly Notices of the Royal Astronomical Society 496, no. 3 (2020): 3708–24. http://dx.doi.org/10.1093/mnras/staa1735.

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ABSTRACT We present results of temporal and spectral analyses on four XMM–Newton EPIC pn observations of IRAS 17020+4544, a narrow-line Seyfert 1 galaxy with evidence of a radio jet. Analysis of the light curves reveals that this radio-loud source does not behave like the bulk population of its radio-quiet counterparts. A trend of spectral hardening with increased flux is found. Variability is found to increase with energy, though it decreases as the spectrum hardens. The first 40 ks of the most recent observation behave uniquely among the epochs, exhibiting a softer spectral state than at any

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Gorbunov, Yu N. "Stochastic signal processing in adaptive measurement systems with rough space-time statistics: invertible spectral analysis method." Izmeritel`naya Tekhnika 74, no. 2 (2025): 88–96. https://doi.org/10.32446/0368-1025it.2025-2-88-96.

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A modified method for efficient spectral and correlation-based spatio-temporal signal processing is presented, designed for operation under conditions of high dynamic variability in input signal intensity and varying frequency-time resources of digital processing. The method is based on adapting algorithms and refining the goals and tasks of signal processing. A methodology has been developed to achieve high instrumental resolution of signals based on spectral and/or correlation features. The study addresses aspects of improving the efficiency of spatio-temporal signal processing, which are re

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RASHID, Haroon Ur, and Abdul Qadir KHAN. "A Phonemic and Acoustic Analysis of Hindko Fricatives." Acta Linguistica Asiatica 4, no. 3 (2015): 71–81. http://dx.doi.org/10.4312/ala.4.3.71-81.

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The Hindko language is mainly spoken in the province of Khyber Pukhtunkhaw, Pakistan. It relates to the Indo-Aryan family of languages. This paper focusses on the phonemic and acoustic analysis of Hindko fricatives. The phonemic analysis identifies that Hindko has eight fricatives. The acoustic analysis aims to explore temporal and spectral characteristics of these fricatives. The acoustic analysis discloses that Hindko fricatives are distinguishable on the basis of the temporal properties such as friction duration and spectral cues like turbulence noise.

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17

Tavabi, Kambiz, David Embick, and Timothy P. L. Roberts. "Spectral–temporal analysis of cortical oscillations during lexical processing." NeuroReport 22, no. 10 (2011): 474–78. http://dx.doi.org/10.1097/wnr.0b013e3283476b84.

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Latcu, Gabriel Decebal, Olivier Meste, Alexandre Duparc, et al. "Temporal and spectral analysis of ventricular fibrillation in humans." Journal of Interventional Cardiac Electrophysiology 30, no. 3 (2011): 199–209. http://dx.doi.org/10.1007/s10840-010-9541-1.

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19

Chang, Ching-Min, and Hund-Der Yeh. "Spectral analysis of temporal non-stationary rainfall-runoff processes." Journal of Hydrology 559 (April 2018): 84–88. http://dx.doi.org/10.1016/j.jhydrol.2018.02.017.

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20

Pang, Lihua, Xilin Liu, Yang Zhang, Qiaofeng Wang, Jiandong Li, and Xiao Liang. "Channel Correlation Analysis by Exploiting Temporal-Spectral-Spatial Information." Chinese Journal of Electronics 24, no. 2 (2015): 379–87. http://dx.doi.org/10.1049/cje.2015.04.026.

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21

Rigozo, Nivaor Rodolfo, and Adriano Petry. "THE ATMOSPHERIC PRESSURE EFFECT ON MUON DATA NORMALIZATION BY SPECTRAL ANALYSIS STUDIES." Revista Brasileira de Geofísica 31, no. 3 (2013): 507. http://dx.doi.org/10.22564/rbgf.v31i3.324.

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ABSTRACT. This paper presents a study of the atmospheric pressure effects on ground cosmic ray muon time series, using the iterative regression spectral analysis method. Along the study, it was observed that the 34 periods present in the atmospheric pressure amplitude spectrum are present in the muon data amplitude spectra as well. It was concluded that the normalization of muon data is only efﬁcient for periods shorter than nine days, in order to eliminate the atmospheric effects.Keywords: cosmic rays, time series, spectral analysis. RESUMO. Este artigo apresenta um estudo dos efeitos da pres

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22

Noriega, N., E. F. Cárdenas, J. A. Chacón, and N. Vásquez. "Temporal Estimators of Peculiar GRBs." Journal of Physics: Conference Series 2796, no. 1 (2024): 012001. http://dx.doi.org/10.1088/1742-6596/2796/1/012001.

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Abstract In our study, we analyze four peculiar Gamma-Ray Bursts (GRBs), namely GRB070724A, GRB070429B, GRB090426, and GRB120804A, all detected by the Swift space telescope. The focus of our investigation lies in evaluating the temporal estimators, such as emission time and spectral lag time in the third Swift GRB catalog sample. Our findings reveal that the calculated temporal estimators offer diverse insights into the classification of the examined GRBs, hinting at the distinctive nature of these events. This suggests that these GRBs can be considered as ‘peculiar’ when compared to standard

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23

Wei, Guohua, Wubing Deng, Zhenchun Li, and Li-Yun Fu. "Sparsity-Enhanced Constrained Least-Squares Spectral Analysis with Greedy-FISTA." Remote Sensing 16, no. 18 (2024): 3486. http://dx.doi.org/10.3390/rs16183486.

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The utilization of the inversion-based algorithm for spectral decomposition using constrained least-squares spectral analysis (CLSSA) facilitates a time–frequency spectrum with higher temporal and frequency resolution. The conventional CLSSA algorithm is solved by optimizing an L2-norm regularized least-squares misfit function using Gaussian elimination, which suffers from intensive computational cost. Instead of solving an L2-norm regularized misfit function, we propose to use an L1-norm regularized objective function to enhance the sparsity of the resulting time–frequency spectra. Then, we u

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Zhu, Hong, Qingping Wang, Ning Tai, Jingjian Huang, and Naichang Yuan. "Statistical Analysis of High-Resolution Coherent Monopulse Radar Sea Clutter." International Journal of Antennas and Propagation 2017 (2017): 1–28. http://dx.doi.org/10.1155/2017/7471918.

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A statistical analysis that properly characterizes sea clutter processes is indispensable both for optimum detection algorithm design and for performance prediction problems in maritime surveillance applications. In this paper, we present the statistical analysis of experimental sea clutter data collected by a high-resolution coherent monopulse radar. First, we present the amplitude statistical analyses for these clutter data. The results show that the K, Pareto, and CIG distributions can each provide good fits to the clutter data for three channels of monopulse radar. The analyses on the vari

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Puryear, Charles I., Oleg N. Portniaguine, Carlos M. Cobos, and John P. Castagna. "Constrained least-squares spectral analysis: Application to seismic data." GEOPHYSICS 77, no. 5 (2012): V143—V167. http://dx.doi.org/10.1190/geo2011-0210.1.

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An inversion-based algorithm for computing the time-frequency analysis of reflection seismograms using constrained least-squares spectral analysis is formulated and applied to modeled seismic waveforms and real seismic data. The Fourier series coefficients are computed as a function of time directly by inverting a basis of truncated sinusoidal kernels for a moving time window. The method resulted in spectra that have reduced window smearing for a given window length relative to the discrete Fourier transform irrespective of window shape, and a time-frequency analysis with a combination of time

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Small, Christopher, and Daniel Sousa. "Spectroscopic Phenological Characterization of Mangrove Communities." Remote Sensing 16, no. 15 (2024): 2796. http://dx.doi.org/10.3390/rs16152796.

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Spaceborne spectroscopic imaging offers the potential to improve our understanding of biodiversity and ecosystem services, particularly for challenging and rich environments like mangroves. Understanding the signals present in large volumes of high-dimensional spectroscopic observations of vegetation communities requires the characterization of seasonal phenology and response to environmental conditions. This analysis leverages both spectroscopic and phenological information to characterize vegetation communities in the Sundarban riverine mangrove forest of the Ganges–Brahmaputra delta. Parall

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Peng, Zhao-Yang, Jia-Ming Chen, and Jirong Mao. "A Comparative Analysis of Two Peculiar Gamma-Ray Bursts: GRB 230307A and GRB 211211A." Astrophysical Journal 969, no. 1 (2024): 26. http://dx.doi.org/10.3847/1538-4357/ad45fc.

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Abstract GRB 211211A is a peculiar long gamma-ray burst (GRB) with very high brightness and short burst properties. Its full light curve consists of three emission episodes, i.e., a precursor, a main burst, and an extended emission. We find that a recently detected long-duration GRB 230307A also includes the three consistent emission episodes. Furthermore, the two bursts have similar redshifts, 0.076 and 0.065, respectively. We perform a detailed temporal and spectral analysis of the two GRBs to compare their temporal and spectral properties. Our analysis shows that the two bursts share great

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Kowalski, N., D. A. Depireux, and S. A. Shamma. "Analysis of dynamic spectra in ferret primary auditory cortex. II. Prediction of unit responses to arbitrary dynamic spectra." Journal of Neurophysiology 76, no. 5 (1996): 3524–34. http://dx.doi.org/10.1152/jn.1996.76.5.3524.

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1. Responses of single units and multiunit clusters were recorded in the ferret primary auditory cortex (AI) with the use of broadband complex dynamic spectra. Previous work has demonstrated that simpler spectra consisting of single moving ripples (i.e., sinusoidally modulated spectral profiles that travel at a constant velocity along the logarithmic frequency axis) could be used effectively to characterize the response fields and transfer functions of AI cells. 2. A complex dynamic spectral profile can be thought of as being the sum of moving ripple spectra. Such a decomposition can be comput

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Sen, Kamal, Frédéric E. Theunissen, and Allison J. Doupe. "Feature Analysis of Natural Sounds in the Songbird Auditory Forebrain." Journal of Neurophysiology 86, no. 3 (2001): 1445–58. http://dx.doi.org/10.1152/jn.2001.86.3.1445.

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Although understanding the processing of natural sounds is an important goal in auditory neuroscience, relatively little is known about the neural coding of these sounds. Recently we demonstrated that the spectral temporal receptive field (STRF), a description of the stimulus-response function of auditory neurons, could be derived from responses to arbitrary ensembles of complex sounds including vocalizations. In this study, we use this method to investigate the auditory processing of natural sounds in the birdsong system. We obtain neural responses from several regions of the songbird auditor

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Omran, A. K., M. A. Zaky, A. S. Hendy, and V. G. Pimenov. "An Efficient Hybrid Numerical Scheme for Nonlinear Multiterm Caputo Time and Riesz Space Fractional-Order Diffusion Equations with Delay." Journal of Function Spaces 2021 (December 6, 2021): 1–13. http://dx.doi.org/10.1155/2021/5922853.

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In this paper, we construct and analyze a linearized finite difference/Galerkin–Legendre spectral scheme for the nonlinear multiterm Caputo time fractional-order reaction-diffusion equation with time delay and Riesz space fractional derivatives. The temporal fractional orders in the considered model are taken as 0 < β 0 < β 1 < β 2 < ⋯ < β m < 1 . The problem is first approximated by the L 1 difference method on the temporal direction, and then, the Galerkin–Legendre spectral method is applied on the spatial discretization. Armed by an appropriate form of discrete fractional

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Štych, Přemysl, Lucie Malíková, Jan Kříž, and Lukáš Holman. "Multi-temporal analysis of vegetation reflectance using MERIS data in the Czech Republic." Miscellanea Geographica 18, no. 2 (2014): 30–34. http://dx.doi.org/10.2478/mgrsd-2014-0015.

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Abstract Accurate high temporal resolution data is a very important source of information for understanding processes in the landscape. High temporal and spectral resolution data enable the monitoring of dynamic landscape processes. For this reason, since 2008 a receiving station for Metosat, NOAA and Envisat data has been installed at the Department of Applied Geoinformatics and Cartography, Faculty of Science, Charles University in Prague. The aim of this study is to analyse the spectral characteristics of vegetation using MERIS data in the Czech Republic. Spectral characteristics of vegetat

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Zhuo, R., L. Xu, J. Peng, and Y. Chen. "SPECTRAL UNMIXING ANALYSIS OF TIME SERIES LANDSAT 8 IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (May 2, 2018): 2609–14. http://dx.doi.org/10.5194/isprs-archives-xlii-3-2609-2018.

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Temporal analysis of Landsat 8 images opens up new opportunities in the unmixing procedure. Although spectral analysis of time series Landsat imagery has its own advantage, it has rarely been studied. Nevertheless, using the temporal information can provide improved unmixing performance when compared to independent image analyses. Moreover, different land cover types may demonstrate different temporal patterns, which can aid the discrimination of different natures. Therefore, this letter presents time series K-P-Means, a new solution to the problem of unmixing time series Landsat imagery. The

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Tang, Bo, and Li Jiang. "Spectral Analysis for Temporal and Spatial Variability of AF Signal." Advanced Materials Research 459 (January 2012): 496–99. http://dx.doi.org/10.4028/scientific5/amr.459.496.

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Fostick, Leah, and Harvey Babkoff. "Auditory spectral versus spatial temporal order judgment: Threshold distribution analysis." Journal of Experimental Psychology: Human Perception and Performance 43, no. 5 (2017): 1002–12. http://dx.doi.org/10.1037/xhp0000359.

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Xie, Y., Y. P. Zhao, S. Jiang, M. Z. Mo, S. T. Yang, and Q. Wang. "Temporal and spectral analysis of capillary-discharge-pumped Ar8+ lasers." Journal of Russian Laser Research 31, no. 3 (2010): 276–80. http://dx.doi.org/10.1007/s10946-010-9146-2.

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Yin, Jiao, Jinli Cao, Siuly Siuly, and Hua Wang. "An Integrated MCI Detection Framework Based on Spectral-temporal Analysis." International Journal of Automation and Computing 16, no. 6 (2019): 786–99. http://dx.doi.org/10.1007/s11633-019-1197-4.

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Weber, S. M., A. Lindinger, M. Plewicki, C. Lupulescu, F. Vetter, and L. Wöste. "Temporal and spectral optimization course analysis of coherent control experiments." Chemical Physics 306, no. 1-3 (2004): 287–93. http://dx.doi.org/10.1016/j.chemphys.2004.07.045.

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Anandan, V. K., C. J. Pan, T. Rajalakshmi, and G. Ramachandra Reddy. "Multitaper spectral analysis of atmospheric radar signals." Annales Geophysicae 22, no. 11 (2004): 3995–4003. http://dx.doi.org/10.5194/angeo-22-3995-2004.

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Abstract. Multitaper spectral analysis using sinusoidal taper has been carried out on the backscattered signals received from the troposphere and lower stratosphere by the Gadanki Mesosphere-Stratosphere-Troposphere (MST) radar under various conditions of the signal-to-noise ratio. Comparison of study is made with sinusoidal taper of the order of three and single tapers of Hanning and rectangular tapers, to understand the relative merits of processing under the scheme. Power spectra plots show that echoes are better identified in the case of multitaper estimation, especially in the region of a

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Dadashova, K. Q., A. A. Mehdieva, and G. T. Agaeva. "SOME PECULIARITIES OF THE BRAIN BIOELECTRICAL ACTIVITY AT CHILDREN WITH ADHD." National Journal of Neurology 2, no. 02 (2012): 82–86. http://dx.doi.org/10.61788/njn.v2i12.11.

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The purpose of this study was to examine the spectral power of the EEG basic rhythms of children with ADHD (Attention Deficit Hyperactivity Disorder). The study involved 54 children of 7-9 years, who were divided into groups of children to cope successfully with the program (1) and having school difficulties (dysgraphia, dyslexia, attention deficit) (2). A comparative analysis of the power spectra in the delta, theta, alpha and beta bands. The spectral power of the alpha rhythm in the first group of children above the background with eyes closed in occipital-temporal areas of both hemispheres.

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Erb, Julia, Marcelo Armendariz, Federico De Martino, Rainer Goebel, Wim Vanduffel, and Elia Formisano. "Homology and Specificity of Natural Sound-Encoding in Human and Monkey Auditory Cortex." Cerebral Cortex 29, no. 9 (2018): 3636–50. http://dx.doi.org/10.1093/cercor/bhy243.

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Abstract Understanding homologies and differences in auditory cortical processing in human and nonhuman primates is an essential step in elucidating the neurobiology of speech and language. Using fMRI responses to natural sounds, we investigated the representation of multiple acoustic features in auditory cortex of awake macaques and humans. Comparative analyses revealed homologous large-scale topographies not only for frequency but also for temporal and spectral modulations. In both species, posterior regions preferably encoded relatively fast temporal and coarse spectral information, whereas

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Simões, Maurício dos Santos, Jansle Vieira Rocha, and Rubens Augusto Camargo Lamparelli. "Orbital spectral variables, growth analysis and sugarcane yield." Scientia Agricola 66, no. 4 (2009): 451–61. http://dx.doi.org/10.1590/s0103-90162009000400004.

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Temporal analysis of crop development in commercial fields requires tools for large area monitoring, such as remote sensing. This paper describes the temporal evolution of sugar cane biophysical parameters such as total biomass (BMT), yield (TSS), leaf area index (LAI), and number of plants per linear meter (NPM) correlated to Landsat data. During the 2000 and 2001 cropping seasons, a commercial sugarcane field in Araras, São Paulo state, Brazil, planted with the SP80-1842 sugarcane variety in the 4th and 5th cuts, was monitored using nine Landsat images. Spectral data were correlated with agr

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Citrin, D. S. "Fibonacci signals with timing jitter." Mathematics in Engineering 5, no. 4 (2023): 1–13. http://dx.doi.org/10.3934/mine.2023076.

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<abstract><p>The power spectral density of a signal comprised of a sequence of Dirac $ \delta $-functions at successive times determined by a Fibonacci sequence is the temporal analog of the well known structure factor for a Fibonacci chain. Such a signal is quasi-periodic and, under suitable choice of parameters, is the temporal analog of a one-dimensional quasicrystal. While the effects of disorder in the spatial case of Fibonacci chains has been studied numerically, having an analytically tractable stochastic model is needed both for the spatial and temporal cases to be able to

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Fernandes, Francisco C. R., Maurício J. A. Bolzan, Reinaldo R. Rosa, et al. "Semi-harmonic and intermittent solar decimetric spikes." Proceedings of the International Astronomical Union 5, S264 (2009): 81–83. http://dx.doi.org/10.1017/s1743921309992420.

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AbstractWe present the analysis of the narrowband solar radio spike emissions observed by the Brazilian Solar Spectroscope (BSS) on 24 June, 1999, at 16:53:55–16:56:48 UT. The data were recorded with temporal resolution of 50 ms and frequency resolution of 5 MHz. The dynamic spectra of clusters of spikes were recorded in 100 channels in the 1.2-1.7 GHz frequency band. The groups of radio spikes observed clearly show spectral semi-harmonic structures and an intermittent temporal patter. The observational parameters were determined from the dynamic spectra analysis. The wavelet analysis techniqu

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Kević, Veronika, Ivan Racetin, and Andrija Krtalić. "Temporal Analysis of Multispectral Satellite Data for the Purpose of Urbanization Monitoring." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W13-2025 (July 11, 2025): 165–70. https://doi.org/10.5194/isprs-archives-xlviii-4-w13-2025-165-2025.

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Abstract. Monitoring the urbanization process and early detection of illegal construction should enable meaningful urban planning and the protection of natural and cultural features of the community. There is a major problem of illegal construction in the Republic of Croatia. In 2023 alone, according to a report by the State Inspectorate of the Republic of Croatia, a total of 4,774 inspections were carried out on the territory of the Republic of Croatia, and 1,089 inspection procedures were initiated due to violations of construction regulations. The aim of this paper was to examine and determ

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Kacic, Patrick, and Claudia Kuenzer. "Forest Biodiversity Monitoring Based on Remotely Sensed Spectral Diversity—A Review." Remote Sensing 14, no. 21 (2022): 5363. http://dx.doi.org/10.3390/rs14215363.

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Forests are essential for global environmental well-being because of their rich provision of ecosystem services and regulating factors. Global forests are under increasing pressure from climate change, resource extraction, and anthropologically-driven disturbances. The results are dramatic losses of habitats accompanied with the reduction of species diversity. There is the urgent need for forest biodiversity monitoring comprising analysis on α, β, and γ scale to identify hotspots of biodiversity. Remote sensing enables large-scale monitoring at multiple spatial and temporal resolutions. Concep

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Zabelinsky, I. E., N. G. Bikova, P. V. Kozlov, V. Yu Levashov, and G. Ya Gerasimov. "RADIATIVE CHARACTERISTICS OF SHOCK HEATED OXYGEN." Journal of Applied Spectroscopy 89, no. 1 (2022): 64–68. http://dx.doi.org/10.47612/0514-7506-2022-89-1-64-68.

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The emission spectra of oxygen behind the front of a strong shock wave have been studied in the shock wave velocity ranges of 5.7—7.4 and 8.1—10.0 km/s at pressures before the wave front of 1.0 and 0.25 Torr. Time-integrated sweeps of radiation in a wide spectral range of 200—675 nm as well as temporal oscillograms of oxygen radiation have been obtained. An analysis of the obtained panoramic spectra shows that at low velocities of the shock wave, the system of Schumann—Runge molecular bands dominates in the emission spectrum. An increase in the shock wave velocity leads to the appearance

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Abdelkawy, M. A., and S. A. Alyami. "A Spectral Collocation Technique for Riesz Fractional Chen-Lee-Liu Equation." Journal of Function Spaces 2021 (April 12, 2021): 1–9. http://dx.doi.org/10.1155/2021/5567970.

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This paper discusses the study of optical solitons that are modeled by Riesz fractional Chen-Lee-Liu model, one of the versions of the famous nonlinear Schrödinger equation. This model is solved by the assistance of consecutive spectral collocation technique with two independent approaches. The first is the approach of the spatial variable, while the other is the approach of the temporal variable. It is concluded that the method of the current paper is far more efficient and credible for the proposed problem. Numerical results illustrate the performance efficiency of the algorithm. The results

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Tsai, Shih-Chiao, Jenn-Shyong Chen, Yen-Hsyang Chu, Ching-Lun Su, and Jui-Hsiang Chen. "High-range resolution spectral analysis of precipitation through range imaging of the Chung-Li VHF radar." Atmospheric Measurement Techniques 11, no. 1 (2018): 581–92. http://dx.doi.org/10.5194/amt-11-581-2018.

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Abstract. Multi-frequency range imaging (RIM) has been operated in the Chung-Li very high-frequency (VHF) radar, located on the campus of National Central University, Taiwan, since 2008. RIM processes the echo signals with a group of closely spaced transmitting frequencies through appropriate inversion methods to obtain high-resolution distribution of echo power in the range direction. This is beneficial to the investigation of the small-scale structure embedded in dynamic atmosphere. Five transmitting frequencies were employed in the radar experiment for observation of the precipitating atmos

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Nofuentes, Gustavo, Christian A. Gueymard, José A. Caballero, Guilherme Marques-Neves, and Jorge Aguilera. "Experimental Evaluation of a Spectral Index to Characterize Temporal Variations in the Direct Normal Irradiance Spectrum." Applied Sciences 11, no. 3 (2021): 897. http://dx.doi.org/10.3390/app11030897.

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A simple index is desirable to assess the effects on both flat-plate and concentrating photovoltaics of natural changes in the solar spectrum. Some studies have suggested that the relationship between the Average Photon Energy (APE) and the shape of individual global tilted irradiance, global horizontal irradiance, or direct normal irradiance (DNI) spectra is bijective and can therefore be used as a single number to unequivocally replace a complete spectral distribution. This paper reevaluates these studies with a modified methodology to assess whether a one-to-one relationship really exists b

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Kowalski, N., D. A. Depireux, and S. A. Shamma. "Analysis of dynamic spectra in ferret primary auditory cortex. I. Characteristics of single-unit responses to moving ripple spectra." Journal of Neurophysiology 76, no. 5 (1996): 3503–23. http://dx.doi.org/10.1152/jn.1996.76.5.3503.

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1. Auditory stimuli referred to as moving ripples are used to characterize the responses of both single and multiple units in the ferret primary auditory cortex. Moving ripples are broadband complex sounds with a sinusoidal spectral profile that drift along the logarithmic frequency axis at a constant velocity. 2. Neuronal responses to moving ripples are locked to the phase of the ripple, i.e., they exhibit the same periodicity as that of the moving ripple profile. Neural responses are characterized as a function of ripple velocity (temporal property) and ripple frequency (spectral property).

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