Time Frequency and Wavelets in Biomedical Signal Processing

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Publisher : Wiley-IEEE Press
ISBN 13 :
Total Pages : 780 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Time Frequency and Wavelets in Biomedical Signal Processing by : Metin Akay

Download or read book Time Frequency and Wavelets in Biomedical Signal Processing written by Metin Akay and published by Wiley-IEEE Press. This book was released on 1998 with total page 780 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomedical Engineering Time Frequency and Wavelets in Biomedical Signal Processing IEEE Press Series in Biomedical Engineering Metin Akay, Series Editor Endorsed by the IEEE Engineering in Medicine and Biology Society Brimming with top articles from experts in signal processing and biomedical engineering, Time Frequency and Wavelets in Biomedical Signal Processing introduces time-frequency, time-scale, wavelet transform methods, and their applications in biomedical signal processing. This edited volume incorporates the most recent developments in the field to illustrate thoroughly how the use of these time-frequency methods is currently improving the quality of medical diagnosis, including technologies for assessing pulmonary and respiratory conditions, EEGs, hearing aids, MRIs, mammograms, X rays, evoked potential signals analysis, neural networks applications, among other topics. Time Frequency and Wavelets in Biomedical Signal Processing will be of particular interest to signal processing engineers, biomedical engineers, and medical researchers. Topics covered include: Time-frequency analysis methods and biomedical applications Wavelets, wavelet packets, and matching pursuits and biomedical applications Wavelets and medical imaging Wavelets, neural networks, and fractals

Biomedical Signal Analysis

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Publisher : John Wiley & Sons
ISBN 13 : 1119825873
Total Pages : 724 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Biomedical Signal Analysis by : Rangaraj M. Rangayyan

Download or read book Biomedical Signal Analysis written by Rangaraj M. Rangayyan and published by John Wiley & Sons. This book was released on 2024-02-19 with total page 724 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomedical Signal Analysis Comprehensive resource covering recent developments, applications of current interest, and advanced techniques for biomedical signal analysis Biomedical Signal Analysis provides extensive insight into digital signal processing techniques for filtering, identification, characterization, classification, and analysis of biomedical signals with the aim of computer-aided diagnosis, taking a unique approach by presenting case studies encountered in the authors’ research work. Each chapter begins with the statement of a biomedical signal problem, followed by a selection of real-life case studies and illustrations with the associated signals. Signal processing, modeling, or analysis techniques are then presented, starting with relatively simple “textbook” methods, followed by more sophisticated research-informed approaches. Each chapter concludes with solutions to practical applications. Illustrations of real-life biomedical signals and their derivatives are included throughout. The third edition expands on essential background material and advanced topics without altering the underlying pedagogical approach and philosophy of the successful first and second editions. The book is enhanced by a large number of study questions and laboratory exercises as well as an online repository with solutions to problems and data files for laboratory work and projects. Biomedical Signal Analysis provides theoretical and practical information on: The origin and characteristics of several biomedical signals Analysis of concurrent, coupled, and correlated processes, with applications in monitoring of sleep apnea Filtering for removal of artifacts, random noise, structured noise, and physiological interference in signals generated by stationary, nonstationary, and cyclostationary processes Detection and characterization of events, covering methods for QRS detection, identification of heart sounds, and detection of the dicrotic notch Analysis of waveshape and waveform complexity Interpretation and analysis of biomedical signals in the frequency domain Mathematical, electrical, mechanical, and physiological modeling of biomedical signals and systems Sophisticated analysis of nonstationary, multicomponent, and multisource signals using wavelets, time-frequency representations, signal decomposition, and dictionary-learning methods Pattern classification and computer-aided diagnosis Biomedical Signal Analysis is an ideal learning resource for senior undergraduate and graduate engineering students. Introductory sections on signals, systems, and transforms make this book accessible to students in disciplines other than electrical engineering.

Discrete Wavelet Transforms

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Publisher : BoD – Books on Demand
ISBN 13 : 9533076542
Total Pages : 382 pages
Book Rating : 4.5/5 (33 download)

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Book Synopsis Discrete Wavelet Transforms by : Hannu Olkkonen

Download or read book Discrete Wavelet Transforms written by Hannu Olkkonen and published by BoD – Books on Demand. This book was released on 2011-09-12 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: The discrete wavelet transform (DWT) algorithms have a firm position in processing of signals in several areas of research and industry. As DWT provides both octave-scale frequency and spatial timing of the analyzed signal, it is constantly used to solve and treat more and more advanced problems. The present book: Discrete Wavelet Transforms - Biomedical Applications reviews the recent progress in discrete wavelet transform algorithms and applications. The book reviews the recent progress in DWT algorithms for biomedical applications. The book covers a wide range of architectures (e.g. lifting, shift invariance, multi-scale analysis) for constructing DWTs. The book chapters are organized into four major parts. Part I describes the progress in implementations of the DWT algorithms in biomedical signal analysis. Applications include compression and filtering of biomedical signals, DWT based selection of salient EEG frequency band, shift invariant DWTs for multiscale analysis and DWT assisted heart sound analysis. Part II addresses speech analysis, modeling and understanding of speech and speaker recognition. Part III focuses biosensor applications such as calibration of enzymatic sensors, multiscale analysis of wireless capsule endoscopy recordings, DWT assisted electronic nose analysis and optical fibre sensor analyses. Finally, Part IV describes DWT algorithms for tools in identification and diagnostics: identification based on hand geometry, identification of species groupings, object detection and tracking, DWT signatures and diagnostics for assessment of ICU agitation-sedation controllers and DWT based diagnostics of power transformers.The chapters of the present book consist of both tutorial and highly advanced material. Therefore, the book is intended to be a reference text for graduate students and researchers to obtain state-of-the-art knowledge on specific applications.

Advanced Methods of Biomedical Signal Processing

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Publisher : John Wiley & Sons
ISBN 13 : 1118007735
Total Pages : 612 pages
Book Rating : 4.1/5 (18 download)

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Book Synopsis Advanced Methods of Biomedical Signal Processing by : Sergio Cerutti

Download or read book Advanced Methods of Biomedical Signal Processing written by Sergio Cerutti and published by John Wiley & Sons. This book was released on 2011-06-09 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book grew out of the IEEE-EMBS Summer Schools on Biomedical Signal Processing, which have been held annually since 2002 to provide the participants state-of-the-art knowledge on emerging areas in biomedical engineering. Prominent experts in the areas of biomedical signal processing, biomedical data treatment, medicine, signal processing, system biology, and applied physiology introduce novel techniques and algorithms as well as their clinical or physiological applications. The book provides an overview of a compelling group of advanced biomedical signal processing techniques, such as multisource and multiscale integration of information for physiology and clinical decision; the impact of advanced methods of signal processing in cardiology and neurology; the integration of signal processing methods with a modelling approach; complexity measurement from biomedical signals; higher order analysis in biomedical signals; advanced methods of signal and data processing in genomics and proteomics; and classification and parameter enhancement.

Practical Biomedical Signal Analysis Using MATLAB®

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Publisher : CRC Press
ISBN 13 : 0429775733
Total Pages : 370 pages
Book Rating : 4.4/5 (297 download)

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Book Synopsis Practical Biomedical Signal Analysis Using MATLAB® by : Katarzyna J. Blinowska

Download or read book Practical Biomedical Signal Analysis Using MATLAB® written by Katarzyna J. Blinowska and published by CRC Press. This book was released on 2021-10-18 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering the latest cutting-edge techniques in biomedical signal processing while presenting a coherent treatment of various signal processing methods and applications, this second edition of Practical Biomedical Signal Analysis Using MATLAB® also offers practical guidance on which procedures are appropriate for a given task and different types of data. It begins by describing signal analysis techniques—including the newest and most advanced methods in the field—in an easy and accessible way, illustrating them with Live Script demos. MATLAB® routines are listed when available, and freely available software is discussed where appropriate. The book concludes by exploring the applications of the methods to a broad range of biomedical signals while highlighting common problems encountered in practice. These chapters have been updated throughout and include new sections on multiple channel analysis and connectivity measures, phase-amplitude analysis, functional near-infrared spectroscopy, fMRI (BOLD) signals, wearable devices, multimodal signal analysis, and brain-computer interfaces. By providing a unified overview of the field, this book explains how to integrate signal processing techniques in biomedical applications properly and explores how to avoid misinterpretations and pitfalls. It helps readers to choose the appropriate method as well as design their own methods. It will be an excellent guide for graduate students studying biomedical engineering and practicing researchers in the field of biomedical signal analysis. Features: Fully updated throughout with new achievements, technologies, and methods and is supported with over 40 original MATLAB Live Scripts illustrating the discussed techniques, suitable for self-learning or as a supplement to college courses Provides a practical comparison of the advantages and disadvantages of different approaches in the context of various applications Applies the methods to a variety of signals, including electric, magnetic, acoustic, and optical Katarzyna J. Blinowska is a Professor emeritus at the University of Warsaw, Poland, where she was director of Graduate Studies in Biomedical Physics and head of the Department of Biomedical Physics. Currently, she is employed at the Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences. She has been at the forefront in developing new advanced time-series methods for research and clinical applications. Jarosław Żygierewicz is a Professor at the University of Warsaw, Poland. His research focuses on developing methods for analyzing EEG and MEG signals, brain-computer interfaces, and applications of machine learning in signal processing and classification.

Ultra Low-Power Biomedical Signal Processing

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Publisher : Springer Science & Business Media
ISBN 13 : 1402090730
Total Pages : 221 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Ultra Low-Power Biomedical Signal Processing by : Sandro Augusto Pavlik Haddad

Download or read book Ultra Low-Power Biomedical Signal Processing written by Sandro Augusto Pavlik Haddad and published by Springer Science & Business Media. This book was released on 2009-05-26 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: Often WT systems employ the discrete wavelet transform, implemented on a digital signal processor. However, in ultra low-power applications such as biomedical implantable devices, it is not suitable to implement the WT by means of digital circuitry due to the relatively high power consumption associated with the required A/D converter. Low-power analog realization of the wavelet transform enables its application in vivo, e.g. in pacemakers, where the wavelet transform provides a means to extremely reliable cardiac signal detection. In Ultra Low-Power Biomedical Signal Processing we present a novel method for implementing signal processing based on WT in an analog way. The methodology presented focuses on the development of ultra low-power analog integrated circuits that implement the required signal processing, taking into account the limitations imposed by an implantable device.

Time-Frequency Analysis Techniques and their Applications

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Publisher : CRC Press
ISBN 13 : 1000867390
Total Pages : 314 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Time-Frequency Analysis Techniques and their Applications by : Ram Bilas Pachori

Download or read book Time-Frequency Analysis Techniques and their Applications written by Ram Bilas Pachori and published by CRC Press. This book was released on 2023-05-09 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most of the real-life signals are non-stationary in nature. The examples of such signals include biomedical signals, communication signals, speech, earthquake signals, vibration signals, etc. Time-frequency analysis plays an important role for extracting the meaningful information from these signals. The book presents time-frequency analysis methods together with their various applications. The basic concepts of signals and different ways of representing signals have been provided. The various time-frequency analysis techniques namely, short-time Fourier transform, wavelet transform, quadratic time-frequency transforms, advanced wavelet transforms, and adaptive time-frequency transforms have been explained. The fundamentals related to these methods are included. The various examples have been included in the book to explain the presented concepts effectively. The recently developed time-frequency analysis techniques such as, Fourier-Bessel series expansion-based methods, synchrosqueezed wavelet transform, tunable-Q wavelet transform, iterative eigenvalue decomposition of Hankel matrix, variational mode decomposition, Fourier decomposition method, etc. have been explained in the book. The numerous applications of time-frequency analysis techniques in various research areas have been demonstrated. This book covers basic concepts of signals, time-frequency analysis, and various conventional and advanced time-frequency analysis methods along with their applications. The set of problems included in the book will be helpful to gain an expertise in time-frequency analysis. The material presented in this book will be useful for students, academicians, and researchers to understand the fundamentals and applications related to time-frequency analysis.

Detection and Estimation Methods for Biomedical Signals

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Publisher :
ISBN 13 :
Total Pages : 296 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Detection and Estimation Methods for Biomedical Signals by : Metin Akay

Download or read book Detection and Estimation Methods for Biomedical Signals written by Metin Akay and published by . This book was released on 1996 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Detection and Estimation Methods for Biomedical Signals discusses the most powerful signal detection and estimation methods in use, and includes appendices of related computer programs to aid the reader in applying the methods to their particular problem. This book includes numerous practical examples of detection and estimation of biological signals, such as the detection of Multiple Sclerosis, using the orthogonal expansion method, and the early detection of coronary artery disease and occlusions before and after angioplasty by the Eigenvector methods. There is also ample coverage of four different wavelet transforms, useful in biomedical signal processing, as well as coverage of biomedical applications of neural networks and chaos theory. This book includes a disk of ANSII C source code for ten useful computer programs. Key Features * Time-frequency methods: design, implementation, simulation, biomedical applications, computer programs on disk * Wavelets: design, implementation, simulation, biomedical applications, computer programs on disk * High resolution methods: design, implementation, simulation, biomedical applications, computer programs on disk * Singular value composition, principle component analysis, Karhunen-Loeve transforms: design, implementation, and biomedical applications * Bayes Rules and Neyman-Pearson Methods: design, implementation, biomedical applications

Practical Biomedical Signal Analysis Using MATLAB

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Publisher : CRC Press
ISBN 13 : 1439812039
Total Pages : 322 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Practical Biomedical Signal Analysis Using MATLAB by : Katarzyn Blinowska

Download or read book Practical Biomedical Signal Analysis Using MATLAB written by Katarzyn Blinowska and published by CRC Press. This book was released on 2011-09-12 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Biomedical Signal Analysis Using MATLAB presents a coherent treatment of various signal processing methods and applications. The book not only covers the current techniques of biomedical signal processing, but it also offers guidance on which methods are appropriate for a given task and different types of data.The first several chapters o

Wavelets and Signal Processing

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Publisher : Springer Science & Business Media
ISBN 13 : 1461200253
Total Pages : 450 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Wavelets and Signal Processing by : Lokenath Debnath

Download or read book Wavelets and Signal Processing written by Lokenath Debnath and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a digest of the current developments, open questions and unsolved problems likely to determine a new frontier for future advanced study and research in the rapidly growing areas of wavelets, wavelet transforms, signal analysis, and signal and image processing. Ideal reference work for advanced students and practitioners in wavelets, and wavelet transforms, signal processing and time-frequency signal analysis. Professionals working in electrical and computer engineering, applied mathematics, computer science, biomedical engineering, physics, optics, and fluid mechanics will also find the book a valuable resource.

Wavelets and Subbands

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Publisher : Springer Science & Business Media
ISBN 13 : 1461201136
Total Pages : 562 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Wavelets and Subbands by : Agostino Abbate

Download or read book Wavelets and Subbands written by Agostino Abbate and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents connections between the different aspects of wavelet and subband theory.

Wavelet Transforms and Time-Frequency Signal Analysis

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Publisher : Springer Science & Business Media
ISBN 13 : 1461201373
Total Pages : 444 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Wavelet Transforms and Time-Frequency Signal Analysis by : Lokenath Debnath

Download or read book Wavelet Transforms and Time-Frequency Signal Analysis written by Lokenath Debnath and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: The last fifteen years have produced major advances in the mathematical theory of wavelet transforms and their applications to science and engineering. In an effort to inform researchers in mathematics, physics, statistics, computer science, and engineering and to stimulate furtherresearch, an NSF-CBMS Research Conference on Wavelet Analysis was organized at the University of Central Florida in May 1998. Many distinguished mathematicians and scientists from allover the world participated in the conference and provided a digest of recent developments, open questions, and unsolved problems in this rapidly growing and important field. As a follow-up project, this monograph was developed from manuscripts sub mitted by renowned mathematicians and scientists who have made important contributions to the subject of wavelets, wavelet transforms, and time-frequency signal analysis. This publication brings together current developments in the theory and applications of wavelet transforms and in the field of time-frequency signal analysis that are likely to determine fruitful directions for future advanced study and research.

Advanced Biosignal Processing

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Publisher : Springer Science & Business Media
ISBN 13 : 354089506X
Total Pages : 384 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Advanced Biosignal Processing by : Amine Nait-Ali

Download or read book Advanced Biosignal Processing written by Amine Nait-Ali and published by Springer Science & Business Media. This book was released on 2009-04-21 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generally speaking, Biosignals refer to signals recorded from the human body. They can be either electrical (e. g. Electrocardiogram (ECG), Electroencephalogram (EEG), Electromyogram (EMG), etc. ) or non-electrical (e. g. breathing, movements, etc. ). The acquisition and processing of such signals play an important role in clinical routines. They are usually considered as major indicators which provide clinicians and physicians with useful information during diagnostic and monitoring processes. In some applications, the purpose is not necessarily medical. It may also be industrial. For instance, a real-time EEG system analysis can be used to control and analyze the vigilance of a car driver. In this case, the purpose of such a system basically consists of preventing crash risks. Furthermore, in certain other appli- tions,asetof biosignals (e. g. ECG,respiratorysignal,EEG,etc. ) can be used toc- trol or analyze human emotions. This is the case of the famous polygraph system, also known as the “lie detector”, the ef ciency of which remains open to debate! Thus when one is dealing with biosignals, special attention must be given to their acquisition, their analysis and their processing capabilities which constitute the nal stage preceding the clinical diagnosis. Naturally, the diagnosis is based on the information provided by the processing system.

Biomedical Signal Processing

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Author :
Publisher : Laxmi Publications
ISBN 13 : 9381159041
Total Pages : 146 pages
Book Rating : 4.3/5 (811 download)

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Book Synopsis Biomedical Signal Processing by : Neeraj Vyas

Download or read book Biomedical Signal Processing written by Neeraj Vyas and published by Laxmi Publications. This book was released on 2011 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applications in Time-Frequency Signal Processing

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Publisher : CRC Press
ISBN 13 : 1351835904
Total Pages : 334 pages
Book Rating : 4.3/5 (518 download)

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Book Synopsis Applications in Time-Frequency Signal Processing by : Antonia Papandreou-Suppappola

Download or read book Applications in Time-Frequency Signal Processing written by Antonia Papandreou-Suppappola and published by CRC Press. This book was released on 2018-10-03 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Because most real-world signals, including speech, sonar, communication, and biological signals, are non-stationary, traditional signal analysis tools such as Fourier transforms are of limited use because they do not provide easily accessible information about the localization of a given frequency component. A more suitable approach for those studying non-stationary signals is the use of time frequency representations that are functions of both time and frequency. Applications in Time-Frequency Signal Processing investigates the use of various time-frequency representations, such as the Wigner distribution and the spectrogram, in diverse application areas. Other books tend to focus on theoretical development. This book differs by highlighting particular applications of time-frequency representations and demonstrating how to use them. It also provides pseudo-code of the computational algorithms for these representations so that you can apply them to your own specific problems. Written by leaders in the field, this book offers the opportunity to learn from experts. Time-Frequency Representation (TFR) algorithms are simplified, enabling you to understand the complex theories behind TFRs and easily implement them. The numerous examples and figures, review of concepts, and extensive references allow for easy learning and application of the various time-frequency representations.

Applications in Time-Frequency Signal Processing

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Author :
Publisher : CRC Press
ISBN 13 : 1420042467
Total Pages : 432 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Applications in Time-Frequency Signal Processing by : Antonia Papandreou-Suppappola

Download or read book Applications in Time-Frequency Signal Processing written by Antonia Papandreou-Suppappola and published by CRC Press. This book was released on 2018-10-03 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Because most real-world signals, including speech, sonar, communication, and biological signals, are non-stationary, traditional signal analysis tools such as Fourier transforms are of limited use because they do not provide easily accessible information about the localization of a given frequency component. A more suitable approach for those studying non-stationary signals is the use of time frequency representations that are functions of both time and frequency. Applications in Time-Frequency Signal Processing investigates the use of various time-frequency representations, such as the Wigner distribution and the spectrogram, in diverse application areas. Other books tend to focus on theoretical development. This book differs by highlighting particular applications of time-frequency representations and demonstrating how to use them. It also provides pseudo-code of the computational algorithms for these representations so that you can apply them to your own specific problems. Written by leaders in the field, this book offers the opportunity to learn from experts. Time-Frequency Representation (TFR) algorithms are simplified, enabling you to understand the complex theories behind TFRs and easily implement them. The numerous examples and figures, review of concepts, and extensive references allow for easy learning and application of the various time-frequency representations.

Time-Frequency Signal Analysis with Applications

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Author :
Publisher : Artech House
ISBN 13 : 1608076520
Total Pages : 673 pages
Book Rating : 4.6/5 (8 download)

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Book Synopsis Time-Frequency Signal Analysis with Applications by : Ljubisa Stankovic

Download or read book Time-Frequency Signal Analysis with Applications written by Ljubisa Stankovic and published by Artech House. This book was released on 2014-05-10 with total page 673 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The culmination of more than twenty years of research, this authoritative resource provides you with a practical understanding of time-frequency signal analysis. The book offers in-depth coverage of critical concepts and principles, along with discussions on key applications in a wide range of signal processing areas, from communications and optics... to radar and biomedicine. Supported with over 140 illustrations and more than 1,700 equations, this detailed reference explores the topics you need to understand for your work in the field, such as Fourier analysis, linear time frequency representations, quadratic time-frequency distributions, higher order time-frequency representations, and analysis of non-stationary noisy signals. This unique book also serves as an excellent text for courses in this area, featuring numerous examples and problems at the end of each chapter. "