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Dissertations / Theses on the topic 'Time-frequency'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Coates, Mark J. "Time frequency modelling." Thesis, University of Cambridge, 1999. https://www.repository.cam.ac.uk/handle/1810/272036.

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2

Elayouty, Amira Sherif Mohamed. "Time and frequency domain statistical methods for high-frequency time series." Thesis, University of Glasgow, 2017. http://theses.gla.ac.uk/8061/.

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Advances in sensor technology enable environmental monitoring programmes to record and store measurements at high-temporal resolution over long time periods. These large volumes of high-frequency data promote an increasingly comprehensive picture of many environmental processes that would not have been accessible in the past with monthly, fortnightly or even daily sampling. However, benefiting from these increasing amounts of high-frequency data presents various challenges in terms of data processing and statistical modeling using standard methods and software tools. These challenges are attri

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3

Mai, Cuong. "Frequency Estimation Using Time-Frequency Based Methods." ScholarWorks@UNO, 2007. http://scholarworks.uno.edu/td/571.

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Any periodic signal can be decomposed into a sum of oscillating functions. Traditionally, cosine and sine segments have been used to represent a single period of the periodic signal (Fourier Series). In more general cases, each of these functions can be represented by a set of spectral parameters such as its amplitude, frequency, phase, and the variability of its instantaneous spectral components. The accuracy of these parameters depends on several processing variables such as resolution, noise level, and bias of the algorithm used. This thesis presents some background of existing freque

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4

Lie, Victor Daniel. "Relational time-frequency analysis." Diss., Restricted to subscribing institutions, 2009. http://proquest.umi.com/pqdweb?did=1997611171&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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5

Ahrabian, Alireza. "Multivariate time-frequency analysis." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/28958.

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Recent advances in time-frequency theory have led to the development of high resolution time-frequency algorithms, such as the empirical mode decomposition (EMD) and the synchrosqueezing transform (SST). These algorithms provide enhanced localization in representing time varying oscillatory components over conventional linear and quadratic time-frequency algorithms. However, with the emergence of low cost multichannel sensor technology, multivariate extensions of time-frequency algorithms are needed in order to exploit the inter-channel dependencies that may arise for multivariate data. Applic

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6

Terwilleger, Erin. "Multidimensional time-frequency analysis /." free to MU campus, to others for purchase, 2002. http://wwwlib.umi.com/cr/mo/fullcit?p3052223.

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7

Abdoush, Yazan <1989&gt. "Time-Frequency Signal Analysis and Adaptive Instantaneous Frequency Estimation." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amsdottorato.unibo.it/9079/1/Thesis.pdf.

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Most of the human-made and physical signals have nonstationary spectra that evolve rapidly with time. To study and characterize such signals, the classic time-domain and frequency-domain representations are inadequate, since they do not provide joint time and frequency information; meaning that, they are signal representations in which the time and frequency variables are mutually exclusive. Time-frequency (TF) signal analysis (TFSA) concerns the processing of signals with time-varying spectral content. It allows for the construction of a signal representation in which the time and frequency v

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8

Maeser, Anna Marie. "Time-frequency dual and quantization." View electronic thesis (PDF), 2009. http://dl.uncw.edu/etd/2009-1/maesera/annamaeser.pdf.

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9

Sylvestre, Benoit. "Time-scale modification of speech : a time-frequency approach." Thesis, McGill University, 1991. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=60496.

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Time-scale modification (TSM) is a process whereby signals are compressed or expanded in time in a manner which preserves their original frequency characteristics. This work explores TSM algorithms for sampled speech. A known approach (2) which is based on the short-time Fourier transform (STFT) is first reviewed, then modified to provide high-quality TSM of speech signals at a lower computational cost. The proposed algorithm resembles the sinusoidal speech model (SSM) based approach (9), yet incorporates new phase compensatory measures to prevent excessive structural deterioration of the time

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10

Khumsat, Phanumas. "Transition frequency integration : technique for high frequency continuous-time filters." Thesis, Imperial College London, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.398200.

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11

Moghaddar, Ali. "Time-frequency representation of frequency-dispersive waveguide and cavity scatterers /." The Ohio State University, 1994. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487859879939625.

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12

Heuschel, Eugene R. "Time-frequency, bi-frequency detector analysis of noise technology radar." Thesis, Monterey, California. Naval Postgraduate School, 2006. http://hdl.handle.net/10945/2636.

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Enemy integrated air defense systems (IADS) using low probability of intercept (LPI) emitters can cause significant problems for suppression of enemy air defense (SEAD) techniques. New threat emitter configurations using low-power random noise modulation have a significant processing gain unavailable to non-cooperative intercept receivers. Consequently, the detection of these emitters can not be accomplished with conventional intercept receiver detection methods. This thesis examines the use of time-frequency, bi-frequency signal detection techniques to identify the parameters of the fou

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13

Sucic, Victor. "Parameters selection for optimising time-frequency distributions and measurements of time-frequency characteristics of nonstationary signals." Thesis, Queensland University of Technology, 2004. https://eprints.qut.edu.au/15834/1/Victor_Sucic_Thesis.pdf.

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The quadratic class of time-frequency distributions (TFDs) forms a set of tools which allow to effectively extract important information from a nonstationary signal. To determine which TFD best represents the given signal, it is a common practice to visually compare different TFDs' time-frequency plots, and select as best the TFD with the most appealing plot. This visual comparison is not only subjective, but also difficult and unreliable especially when signal components are closely-spaced in the time-frequency plane. To objectively compare TFDs, a quantitative performance measure should be u

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14

Sucic, Victor. "Parameters Selection for Optimising Time-Frequency Distributions and Measurements of Time-Frequency Characteristics of Nonstationary Signals." Queensland University of Technology, 2004. http://eprints.qut.edu.au/15834/.

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The quadratic class of time-frequency distributions (TFDs) forms a set of tools which allow to effectively extract important information from a nonstationary signal. To determine which TFD best represents the given signal, it is a common practice to visually compare different TFDs' time-frequency plots, and select as best the TFD with the most appealing plot. This visual comparison is not only subjective, but also difficult and unreliable especially when signal components are closely-spaced in the time-frequency plane. To objectively compare TFDs, a quantitative performance measure should be u

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15

Sansing, Christopher. "Directional time-frequency analysis with applications." Diss., Columbia, Mo. : University of Missouri-Columbia, 2006. http://hdl.handle.net/10355/4484.

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Thesis (Ph.D.)--University of Missouri-Columbia, 2006.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (March 1, 2007) Vita. Includes bibliographical references.

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16

Kalyoncu, Ozden. "Noise Reduction In Time-frequency Domain." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608768/index.pdf.

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In this thesis work, time-frequency filtering of nonstationary signals in noise using Wigner-Ville Distribution is investigated. Continuous-time, discrete-time and discrete Wigner Ville Distribution definitions, their relations, and properties are given. Time-Frequency Peak Filtering Method is presented. The effects of different parameters on the performance of the method are investigated, and the results are presented. Time-Varying Wiener Filter is presented. Using simulations it is shown that the performance of the filter is good at SNR levels down to -5 dB. It is proposed and shown that the

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17

Lundbergh, Stefan. "Modelling economic high-frequency time series." Doctoral thesis, Handelshögskolan i Stockholm, Ekonomisk Statistik (ES), 1999. http://urn.kb.se/resolve?urn=urn:nbn:se:hhs:diva-637.

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18

Labate, Demetrio. "Time-frequency analysis of pseudodifferential operators." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/29453.

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19

Dalianis, Sotirios A. "Time-frequency methods for nonstationary systems." Thesis, University of Southampton, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.246198.

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20

Adamopoulos, Panos Georgiou. "Time-frequency characterisation of nonlinear systems." Thesis, University of Southampton, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.303505.

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21

Rainton, D. "Time-frequency spectral estimation of speech." Thesis, University of Cambridge, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.334249.

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22

Kressner, Abigail A. "Structure in time-frequency binary masking." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54869.

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Understanding speech in noisy environments is a challenge for normal-hearing and impaired-hearing listeners alike. However, it has been shown that speech intelligibility can be improved in these situations using a strategy called the ideal binary mask. Because this approach requires knowledge of the speech and noise signals separately though, it is ill-suited for practical applications. To address this, many algorithms are being designed to approximate the ideal binary mask strategy. Inevitably though, these algorithms make errors, and the implications of these errors are not well-understood.

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23

Bartůšek, Jan. "Time Frequency Analysis of ERP Signals." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2007. http://www.nusl.cz/ntk/nusl-412769.

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Tato práce se zabývá vylepšením algoritmu pro sdružování (clustering) ERP signálů pomocí analýzy časových a prostorových vlastností pseudo-signálů získaných za pomocí metody analýzy nezávislých komponent (Independent Component Analysis). Naším zájmem je nalezení nových vlastností, které by zlepšily stávající výsledky. Tato práce se zabývá použitím Fourierovy transformace (Fourier Transform), FIR filtru a krátkodobé Fourierovy transformace ke zkvalitnění informace pro sdružovací algoritmy. Princip a použitelnost metody jsou popsány a demonstrovány ukázkovým algoritmem. Výsledky ukázaly, že pomo

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24

Al-Ghadhban, Samir Naser. "Multi-layered Space Frequency Time Codes." Diss., Virginia Tech, 2005. http://hdl.handle.net/10919/29498.

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This dissertation focuses on three major advances on multiple-input multiple-output (MIMO) systems. The first studies and compares decoding algorithms for multi-layered space time coded (MLSTC) systems. These are single user systems that combine spatial multiplexing and transmit diversity. Each layer consists of a space time code. The detection algorithms are based on multi-user detection theory. We consider joint, interference nulling and cancellation, and spatial sequence estimation algorithms. As part of joint detection algorithms, the sphere decoder is studied and its complexity is evaluat

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25

Yoshimura, Koji. "Factors associated with night-time frequency." Kyoto University, 2007. http://hdl.handle.net/2433/135914.

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26

Droppo, J. G. "Time-frequency features for speech recognition /." Thesis, Connect to this title online; UW restricted, 2000. http://hdl.handle.net/1773/5965.

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27

Brockman, Erik. "TIME-FREQUENCY ANALYSIS OF INTRACARDIAC ELECTROGRAM." DigitalCommons@CalPoly, 2009. https://digitalcommons.calpoly.edu/theses/188.

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The Cardiac Rhythm Management Division of St. Jude Medical specializes in the development of implantable cardioverter defibrillators that improve the quality of life for patients diagnosed with a variety of cardiac arrhythmias, especially for patients prone to sudden cardiac death. With the goal to improve detection of cardiac arrhythmias, this study explored the value in time-frequency analysis of intracardiac electrogram in four steps. The first two steps characterized, in the frequency domain, the waveforms that construct the cardiac cycle. The third step developed a new algorithm that p

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28

Jones, Graeme Stephen. "Instantaneous frequency, time-frequency distributions and the analysis of multicomponent signals." Thesis, Queensland University of Technology, 1992.

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29

Luo, Linqing. "Time-frequency localisation of distributed Brillouin Optical Time Domain Reflectometry." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/274568.

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Distributed fibre optic sensing (DFOS) is essential for structural health monitoring (SHM) of strain changes induced during the lifetime of a structure. Among different DFOS systems, the Brillouin Optical Time Domain Reflectometry (BOTDR) takes the advantages of obtaining full frequency spectrum to provide strain and temperature information along the optic fibre. The key parameters of distributed fibre optic sensors, spatial and frequency resolution, are strongly linked with the time-frequency (T-F) localisation in the system in three parts: pulse, hardware design and optical fibre. T-F locali

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30

HUANG, WEI. "Improved PPP for time and frequency transfer and real-time detection of GNSS satellite clock frequency anomalies." Doctoral thesis, Politecnico di Torino, 2020. http://hdl.handle.net/11583/2842527.

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31

Mui, Chi Seong. "Frequency domain approach to time series analysis." Thesis, University of Macau, 2000. http://umaclib3.umac.mo/record=b1446676.

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32

Dang, Pei. "Time-frequency analysis based on mono-components." Thesis, University of Macau, 2011. http://umaclib3.umac.mo/record=b2489938.

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33

Wohlrabe, Klaus. "Forecasting with mixed-frequency time series models." Diss., lmu, 2009. http://nbn-resolving.de/urn:nbn:de:bvb:19-96817.

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34

Mazzaro, Gregory James. "Time-Frequency Effects in Wireless Communication Systems." NCSU, 2009. http://www.lib.ncsu.edu/theses/available/etd-09292009-115014/.

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Time-frequency effects in wireless communication systems caused by narrowband resonances and coupled with device nonlinearities are revealed as new sources of co-site interference, exploited for the metrology of bandpass circuits, and employed to linearize amplitude-modulated transmissions. The transient properties of bandpass filters are found to last much longer than traditional time/bandwidth rules-of-thumb. The cause of this long-tail behavior is attributed to the coupled-resonator structure of the filter circuit. A solution method which uses lowpass prototyping is developed to reduce, by

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35

Nesbit, Andrew Luke. "Audio Source Separation by Time-frequency Masking." Thesis, Queen Mary, University of London, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.504557.

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Audio source separation is a particularly interesting problem when the number of mixture channels is less than the number of sources. Our motivation for studying this is that recorded stereo music signals can often be approximated by the two-channel case. Such mixtures often have a high degree of overlapping partial frequencies and are especially challenging for standard techniques. oWe attempt to solve the problem by time-frequency masking methods, using transforms which give sparse signal representations. Our first contribution is to compare binary time-frequency masking using fixed-basis tr

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36

Giakas, Giannis K. "Time and frequency domain applications in biomechanics." Thesis, Manchester Metropolitan University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389498.

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37

Leung, Terence Sze-tat. "Time-frequency characterisation of paediatric heart sounds." Thesis, University of Southampton, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287001.

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38

MATOS, MARCILIO CASTRO DE. "SEISMIC PATTERN RECOGNITION USING TIME-FREQUENCY ANALYSES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2004. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=5081@1.

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INSTITUTO MILITAR DE ENGENHARIA<br>Independente da metodologia adotada para realizar análise de fácies sísmicas, a segmentação temporal e espacial da região do reservatório deve ser realizada cuidadosamente. A confiança no resultado da interpretação depende da complexidade do sistema geológico, da qualidade dos dados sísmicos, e da experiência do intérprete. Portanto, qualquer erro de interpretação pode levar a resultados incoerentes. Especialmente, a análise de fácies sísmicas utilizando formas de onda do sinal na região do reservatório é bastante sensível a ruídos de interpretação.

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39

Rottensteiner, David. "Time-frequency analysis on the Heisenberg group." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/24568.

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It is the main goal of this text to study certain aspects of time-frequency analysis on the 2n+1-dimensional Heisenberg group. More specifically, we will discuss how the well-studied notions of modulation spaces and Weyl quantization can be extended from the Euclidean space Rn to the Heisenberg group Hn. For quite a long time already this group has served as a good test object to verify which concepts and results from Euclidean (thus Abelian) analysis carry over to simple instances of non-Abelian structures. In the case of the Weyl quantization a reasonable answer for $\H$ was first proposed b

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40

Ilvedson, Corinne Rachel 1974. "Transfer function estimation using time-frequency analysis." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/50472.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1998.<br>Includes bibliographical references (p. 135-136).<br>Given limited and noisy data, identifying the transfer function of a complex aerospace system may prove difficult. In order to obtain a clean transfer function estimate despite noisy data, a time-frequency analysis approach to system identification has been developed. The method is based on the observation that for a linear system, an input at a given frequency should result in a response at the same frequency, and a time localized frequency

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41

Moulton, Clay Robert. "Resonant Frequency: Artefacts in Response to Time." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/34838.

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This Industrial Design graduate thesis is a response to the discussion surrounding the question, How can Design move from Green to Good? Three artefacts have been designed. These artefacts respond to a context. Context, in this body of work, is time. Time as context is about knowing the before now, applying it to the now, to positively affect the after now. The artefacts respond to three distinct lifetimes: 5 minutes 45 seconds, 8 hours 45 minutes, and 10 years. The intent is to utilize a Natural system, time, in a manner beyond typical product life-cycle-analysis. Also included are a series o

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42

Fabre, Nicolas. "Quantum information in time-frequency continuous variables." Thesis, Université de Paris (2019-....), 2020. http://www.theses.fr/2020UNIP7044.

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Cette thèse aborde l’encodage de degrés de liberté continus temps-fréquence de photon uniques. Les similitudes mathématiques avec les quadratures du champ électromagnétique amène à généraliser des protocoles exprimées dans ces variables dans notre encodage. On introduit un nouveau type de qubit robuste contre des erreurs du type déplacement dans l’espace des phases temps-fréquence. Un nouvel espace des phases doublement cylindriques est étudié et est une représentation particulièrement adaptée pour des états ayant une symétrie de translation. On étudie également comment construire une distribu

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43

Hughes, John B. "Signal enhancement using time-frequency based denoising." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion/03Mar%5FHughes.pdf.

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44

Papagni, Francesca <1993&gt. "Frequency domain analysis of stationary time series." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amsdottorato.unibo.it/9850/1/Papagni_Francesca_tesi.pdf.

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This thesis provides a necessary and sufficient condition for asymptotic efficiency of a nonparametric estimator of the generalised autocovariance function of a Gaussian stationary random process. The generalised autocovariance function is the inverse Fourier transform of a power transformation of the spectral density, and encompasses the traditional and inverse autocovariance functions. Its nonparametric estimator is based on the inverse discrete Fourier transform of the same power transformation of the pooled periodogram. The general result is then applied to the class of Gaussian stationar

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45

Lee, King F. "Space-time and space-frequency coded orthogonal frequency division multiplexing transmitter diversity techniques." Diss., Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/14981.

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Wong, Kar Lun (Clarence). "Space-time-frequency channel estimation for multiple-antenna orthogonal frequency division multiplexing systems." Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=100244.

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We propose a linear mean square error channel estimator that exploits the joint space-time-frequency (STF) correlations of the wireless fading channel for applications in multiple-antenna orthogonal frequency division multiplexing systems. Our work generalizes existing channel estimators to the full dimensions including transmit spatial, receive spatial, time, and frequency. This allows versatile applications of our STF channel estimator to any fading environment, ranging from spatially-uncorrelated slow-varying frequency-flat channels to spatially-correlated fast-varying frequency-selective c

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47

Hon, Tsz Kin. "Time-frequency analysis and filtering based on the short-time Fourier transform." Thesis, King's College London (University of London), 2013. https://kclpure.kcl.ac.uk/portal/en/theses/timefrequency-analysis-and-filtering-based-on-the-shorttime-fourier-transform(de8bcca8-cd9d-42a3-bf79-281672478744).html.

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The joint time-frequency (TF) domain provides a convenient platform for signal analysis by involving the dimension of time in the frequency representation of a signal. A straightforward way to acquire localized knowledge about the frequency content of the signal at different times is to perform the Fourier transform over short-time intervals rather than processing the whole signal at once. The resulting TF representation is the short-time Fourier transform (STFT), which remains to date the most widely used method for the analysis of signals whose spectral content varies with time. Recent appli

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48

Chen, Wei Zhang Ruifeng. "Time- frequency- selective channel estimation of ofdm systems /." Philadelphia, Pa. : Drexel University, 2005. http://dspace.library.drexel.edu/handle/1860/616.

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49

Rosser, Daniel Mark. "Time frequency analysis of a noisy carrier signal." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1995. http://handle.dtic.mil/100.2/ADA303118.

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Thesis (M.S. in Electrical Engineering and Electrical Engineer) Naval Postgraduate School, June 1995.<br>"June 1995." Thesis advisor(s): Alex Lam. Includes bibliographical references. Also avaliable online.

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Logoglu, Berker. "Performance Of Bilinear Time-frequency Transforms In Isar." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12609166/index.pdf.

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In this thesis a stepped-frequency Inverse Synthetic Aperture Radar (ISAR) is employed to develop two-dimensional range-Doppler images of a small ghter aircraft which exhibits three dimensional rotational rotation. The simulation is designed such that the target can exhibit yaw, pitch and roll motions at the same time. First, radar returns from prominent scatterers of various parts of the target are processed and displayed using conventional Fourier transform. The eects of dierent complex motion types and scenarios are observed and discussed. Then, several linear and bi-linear time-frequency d

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