Time-Frequency Analysis Techniques and their Applications
暫譯: 時間-頻率分析技術及其應用
Pachori, Ram Bilas
- 出版商: CRC
- 出版日期: 2024-12-19
- 售價: $2,420
- 貴賓價: 9.5 折 $2,299
- 語言: 英文
- 頁數: 218
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032435763
- ISBN-13: 9781032435763
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商品描述
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.
商品描述(中文翻譯)
大多數現實生活中的信號本質上是非平穩的。這類信號的例子包括生物醫學信號、通信信號、語音、地震信號、振動信號等。時間-頻率分析在從這些信號中提取有意義的信息方面扮演著重要角色。本書介紹了時間-頻率分析方法及其各種應用。
本書提供了信號的基本概念以及表示信號的不同方式。各種時間-頻率分析技術，包括短時傅立葉變換（short-time Fourier transform）、小波變換（wavelet transform）、二次時間-頻率變換（quadratic time-frequency transforms）、高級小波變換（advanced wavelet transforms）和自適應時間-頻率變換（adaptive time-frequency transforms）等，均有詳細解釋。與這些方法相關的基本原理也包含在內。本書中包含了多個例子，以有效解釋所呈現的概念。最近開發的時間-頻率分析技術，如基於傅立葉-貝塞爾級數展開的方法、同步壓縮小波變換（synchrosqueezed wavelet transform）、可調Q小波變換（tunable-Q wavelet transform）、亨克爾矩陣的迭代特徵值分解（iterative eigenvalue decomposition of Hankel matrix）、變分模式分解（variational mode decomposition）、傅立葉分解方法（Fourier decomposition method）等，也在本書中進行了解釋。時間-頻率分析技術在各種研究領域的眾多應用也得到了展示。
本書涵蓋了信號的基本概念、時間-頻率分析以及各種傳統和先進的時間-頻率分析方法及其應用。本書中包含的一系列問題將有助於讀者在時間-頻率分析方面獲得專業知識。本書所呈現的材料將對學生、學者和研究人員理解與時間-頻率分析相關的基本原理和應用非常有用。
作者簡介
Ram Bilas Pachori received the B.E. degree with honours in Electronics and Communication Engineering from Rajiv Gandhi Technological University, Bhopal, India in 2001, the M.Tech. and Ph.D. degrees in Electrical Engineering from Indian Institute of Technology (IIT) Kanpur, India in 2003 and 2008, respectively.
He worked as a Post-Doctoral Fellow at Charles Delaunay Institute, University of Technology of Troyes, France during 2007-2008. He served as an Assistant Professor at Communication Research Center, International Institute of Information Technology, Hyderabad, India during 2008-2009. He served as an Assistant Professor at Department of Electrical Engineering, IIT Indore, India during 2009-2013. He worked as an Associate Professor at Department of Electrical Engineering, IIT Indore during 2013-2017 where presently he has been working as a Professor since 2017. Currently, he is also associated with Center for Advanced Electronics at IIT Indore. He was a Visiting Professor at Neural Dynamics of Visual Cognition Lab, Free University of Berlin, Germany during July-September, 2022. He has served as a Visiting Professor at School of Medicine, Faculty of Health and Medical Sciences, Taylor's University, Malaysia during 2018-2019. Previously, he has worked as a Visiting Scholar at Intelligent Systems Research Center, Ulster University, Londonderry, UK during December 2014.
His research interests are in the areas of Signal and Image Processing, Biomedical Signal Processing, Non-stationary Signal Processing, Speech Signal Processing, Brain-Computer Interfacing, Machine Learning, and Artificial Intelligence and Internet of Things in Healthcare.
He is an Associate Editor of Electronics Letters, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Biomedical Signal Processing and Control and an Editor of IETE Technical Review. He is a senior member of IEEE and a Fellow of IETE, IEI, and IET.
He has 264 publications which include journal papers (162), conference papers (72), books (08), and book chapters (22). He has also three patents: 01 Australian patent (granted) and 02 Indian patents (filed). His publications have been cited approximately 12000 times with h-index of 57 according to Google Scholar. He has worked on various research projects with funding support from SERB, DST, DBT, CSIR, and ICMR.
作者簡介(中文翻譯)
Ram Bilas Pachori於2001年獲得印度博帕爾的拉吉夫甘地科技大學（Rajiv Gandhi Technological University）電子與通信工程（Electronics and Communication Engineering）榮譽學士學位，並於2003年和2008年分別在印度理工學院（IIT）坎普爾獲得電氣工程（Electrical Engineering）碩士（M.Tech.）和博士（Ph.D.）學位。
他於2007年至2008年在法國特魯瓦科技大學（University of Technology of Troyes）的查爾斯·德拉諾研究所（Charles Delaunay Institute）擔任博士後研究員。2008年至2009年，他在印度海得拉巴的國際資訊技術學院（International Institute of Information Technology）通信研究中心擔任助理教授。2009年至2013年，他在印度IIT印多爾的電氣工程系擔任助理教授。2013年至2017年，他在IIT印多爾的電氣工程系擔任副教授，並自2017年起擔任教授。目前，他還與IIT印多爾的先進電子中心（Center for Advanced Electronics）有關聯。他於2022年7月至9月在德國柏林自由大學（Free University of Berlin）的視覺認知神經動力學實驗室擔任訪問教授。他於2018年至2019年在馬來西亞泰勒大學（Taylor's University）健康與醫學科學學院擔任訪問教授。此前，他於2014年12月在英國倫敦德里（Londonderry）的阿爾斯特大學（Ulster University）智能系統研究中心擔任訪問學者。
他的研究興趣包括信號與影像處理（Signal and Image Processing）、生物醫學信號處理（Biomedical Signal Processing）、非穩態信號處理（Non-stationary Signal Processing）、語音信號處理（Speech Signal Processing）、腦機介面（Brain-Computer Interfacing）、機器學習（Machine Learning）、人工智慧（Artificial Intelligence）以及醫療保健中的物聯網（Internet of Things）。
他是《電子快報》（Electronics Letters）、《IEEE神經系統與康復工程期刊》（IEEE Transactions on Neural Systems and Rehabilitation Engineering）、《生物醫學信號處理與控制》（Biomedical Signal Processing and Control）的副編輯，以及《IETE技術評論》（IETE Technical Review）的編輯。他是IEEE的資深會員，並且是IETE、IEI和IET的院士。
他擁有264篇出版物，包括期刊論文（162篇）、會議論文（72篇）、書籍（8本）和書籍章節（22篇）。他還擁有三項專利：1項澳大利亞專利（已授予）和2項印度專利（已申請）。根據Google Scholar，他的出版物被引用約12000次，h指數為57。他參與了多個研究項目，並獲得了來自SERB、DST、DBT、CSIR和ICMR的資助支持。
