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A Wavelet Tour of Signal Processing

A Wavelet Tour of Signal Processing
The Sparse Way

by Stephane Mallat

  • Publisher : Academic Press
  • Release : 2008-12-18
  • Pages : 832
  • ISBN : 9780080922027
  • Language : En, Es, Fr & De
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Mallat's book is the undisputed reference in this field - it is the only one that covers the essential material in such breadth and depth. - Laurent Demanet, Stanford University The new edition of this classic book gives all the major concepts, techniques and applications of sparse representation, reflecting the key role the subject plays in today's signal processing. The book clearly presents the standard representations with Fourier, wavelet and time-frequency transforms, and the construction of orthogonal bases with fast algorithms. The central concept of sparsity is explained and applied to signal compression, noise reduction, and inverse problems, while coverage is given to sparse representations in redundant dictionaries, super-resolution and compressive sensing applications. Features: * Balances presentation of the mathematics with applications to signal processing * Algorithms and numerical examples are implemented in WaveLab, a MATLAB toolbox New in this edition * Sparse signal representations in dictionaries * Compressive sensing, super-resolution and source separation * Geometric image processing with curvelets and bandlets * Wavelets for computer graphics with lifting on surfaces * Time-frequency audio processing and denoising * Image compression with JPEG-2000 * New and updated exercises A Wavelet Tour of Signal Processing: The Sparse Way, Third Edition, is an invaluable resource for researchers and R&D engineers wishing to apply the theory in fields such as image processing, video processing and compression, bio-sensing, medical imaging, machine vision and communications engineering. Stephane Mallat is Professor in Applied Mathematics at École Polytechnique, Paris, France. From 1986 to 1996 he was a Professor at the Courant Institute of Mathematical Sciences at New York University, and between 2001 and 2007, he co-founded and became CEO of an image processing semiconductor company. Includes all the latest developments since the book was published in 1999, including its application to JPEG 2000 and MPEG-4 Algorithms and numerical examples are implemented in Wavelab, a MATLAB toolbox Balances presentation of the mathematics with applications to signal processing

A Wavelet Tour of Signal Processing, 3rd Edition

A Wavelet Tour of Signal Processing, 3rd Edition
A Book

by Stephane Mallat

  • Publisher : Unknown Publisher
  • Release : 2008
  • Pages : 832
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Mallat's book is the undisputed reference in this field - it is the only one that covers the essential material in such breadth and depth. - Laurent Demanet, Stanford University The new edition of this classic book gives all the major concepts, techniques and applications of sparse representation, reflecting the key role the subject plays in today's signal processing. The book clearly presents the standard representations with Fourier, wavelet and time-frequency transforms, and the construction of orthogonal bases with fast algorithms. The central concept of sparsity is explained and applied to signal compression, noise reduction, and inverse problems, while coverage is given to sparse representations in redundant dictionaries, super-resolution and compressive sensing applications. Features: * Balances presentation of the mathematics with applications to signal processing * Algorithms and numerical examples are implemented in WaveLab, a MATLAB toolbox * Companion website for instructors and selected solutions and code available for students New in this edition * Sparse signal representations in dictionaries * Compressive sensing, super-resolution and source separation * Geometric image processing with curvelets and bandlets * Wavelets for computer graphics with lifting on surfaces * Time-frequency audio processing and denoising * Image compression with JPEG-2000 * New and updated exercises A Wavelet Tour of Signal Processing: The Sparse Way, third edition, is an invaluable resource for researchers and R & D engineers wishing to apply the theory in fields such as image processing, video processing and compression, bio-sensing, medical imaging, machine vision and communications engineering. Stephane Mallat is Professor in Applied Mathematics at École Polytechnique, Paris, France. From 1986 to 1996 he was a Professor at the Courant Institute of Mathematical Sciences at New York University, and between 2001 and 2007, he co-founded and became CEO of an image processing semiconductor company. Companion website: A Numerical Tour of Signal Processing Includes all the latest developments since the book was published in 1999, including its application to JPEG 2000 and MPEG-4 Algorithms and numerical examples are implemented in Wavelab, a MATLAB toolbox Balances presentation of the mathematics with applications to signal processing.

信号处理的小波导引

信号处理的小波导引

by Stéphane G. Mallat

  • Publisher : Unknown Publisher
  • Release : 1999
  • Pages : 637
  • ISBN : 9787111127680
  • Language : En, Es, Fr & De
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责任者译名:马拉特。

A Wavelet Tour of Signal Processing

A Wavelet Tour of Signal Processing
A Book

by Stephane Mallat

  • Publisher : Elsevier
  • Release : 1999-09-14
  • Pages : 620
  • ISBN : 9780080520834
  • Language : En, Es, Fr & De
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This book is intended to serve as an invaluable reference for anyone concerned with the application of wavelets to signal processing. It has evolved from material used to teach "wavelet signal processing" courses in electrical engineering departments at Massachusetts Institute of Technology and Tel Aviv University, as well as applied mathematics departments at the Courant Institute of New York University and École Polytechnique in Paris. Provides a broad perspective on the principles and applications of transient signal processing with wavelets Emphasizes intuitive understanding, while providing the mathematical foundations and description of fast algorithms Numerous examples of real applications to noise removal, deconvolution, audio and image compression, singularity and edge detection, multifractal analysis, and time-varying frequency measurements Algorithms and numerical examples are implemented in Wavelab, which is a Matlab toolbox freely available over the Internet Content is accessible on several level of complexity, depending on the individual reader's needs New to the Second Edition Optical flow calculation and video compression algorithms Image models with bounded variation functions Bayes and Minimax theories for signal estimation 200 pages rewritten and most illustrations redrawn More problems and topics for a graduate course in wavelet signal processing, in engineering and applied mathematics

Computational Signal Processing with Wavelets

Computational Signal Processing with Wavelets
A Book

by Anthony Teolis

  • Publisher : Birkhäuser
  • Release : 2017-10-02
  • Pages : 324
  • ISBN : 331965747X
  • Language : En, Es, Fr & De
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This unique resource examines the conceptual, computational, and practical aspects of applied signal processing using wavelets. With this book, readers will understand and be able to use the power and utility of new wavelet methods in science and engineering problems and analysis. The text is written in a clear, accessible style avoiding unnecessary abstractions and details. From a computational perspective, wavelet signal processing algorithms are presented and applied to signal compression, noise suppression, and signal identification. Numerical illustrations of these computational techniques are further provided with interactive software (MATLAB code) that is available on the World Wide Web. Topics and Features Continuous wavelet and Gabor transforms Frame-based theory of discretization and reconstruction of analog signals is developed New and efficient "overcomplete" wavelet transform is introduced and applied Numerical illustrations with an object-oriented computational perspective using the Wavelet Signal Processing Workstation (MATLAB code) available This book is an excellent resource for information and computational tools needed to use wavelets in many types of signal processing problems. Graduates, professionals, and practitioners in engineering, computer science, geophysics, and applied mathematics will benefit from using the book and software tools. The present, softcover reprint is designed to make this classic textbook available to a wider audience. A self-contained text that is theoretically rigorous while maintaining contact with interesting applications. A particularly noteworthy topic...is a class of ‘overcomplete wavelets’. These functions are not orthonormal and they lead to many useful results. —Journal of Mathematical Psychology

Linear Algebra, Signal Processing, and Wavelets - A Unified Approach

Linear Algebra, Signal Processing, and Wavelets - A Unified Approach
Python Version

by Øyvind Ryan

  • Publisher : Springer
  • Release : 2019-02-26
  • Pages : 364
  • ISBN : 3030029409
  • Language : En, Es, Fr & De
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This book offers a user friendly, hands-on, and systematic introduction to applied and computational harmonic analysis: to Fourier analysis, signal processing and wavelets; and to their interplay and applications. The approach is novel, and the book can be used in undergraduate courses, for example, following a first course in linear algebra, but is also suitable for use in graduate level courses. The book will benefit anyone with a basic background in linear algebra. It defines fundamental concepts in signal processing and wavelet theory, assuming only a familiarity with elementary linear algebra. No background in signal processing is needed. Additionally, the book demonstrates in detail why linear algebra is often the best way to go. Those with only a signal processing background are also introduced to the world of linear algebra, although a full course is recommended. The book comes in two versions: one based on MATLAB, and one on Python, demonstrating the feasibility and applications of both approaches. Most of the code is available interactively. The applications mainly involve sound and images. The book also includes a rich set of exercises, many of which are of a computational nature.

Wavelets and Signal Processing

Wavelets and Signal Processing
A Book

by Lokenath Debnath

  • Publisher : Springer Science & Business Media
  • Release : 2012-12-06
  • Pages : 435
  • ISBN : 1461200253
  • Language : En, Es, Fr & De
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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 Signal Processing

Wavelets and Signal Processing
An Application-Based Introduction

by Hans-Georg Stark

  • Publisher : Springer Science & Business Media
  • Release : 2005-04-01
  • Pages : 150
  • ISBN : 3540234330
  • Language : En, Es, Fr & De
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Professor Noubari's recommendation: "Professor Starks book provides an effective entry into the field for engineering students who have little or no prior knowledge of this important subject. Avaibility of collection of computer codes and mfiles in combination with topics of the book, makes the book highly valuable to enhance student learning of the subject matter."

Wavelet Analysis and Transient Signal Processing Applications for Power Systems

Wavelet Analysis and Transient Signal Processing Applications for Power Systems
A Book

by Zhengyou He

  • Publisher : John Wiley & Sons
  • Release : 2016-09-26
  • Pages : 300
  • ISBN : 1118977009
  • Language : En, Es, Fr & De
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An original reference applying wavelet analysis to power systems engineering • Introduces a modern signal processing method called wavelet analysis, and more importantly, its applications to power system fault detection and protection • Concentrates on its application to the power system, offering great potential for fault detection and protection • Presents applications, examples, and case studies, together with the latest research findings • Provides a combination of the author’s tutorial notes from electrical engineering courses together with his own original research work, of interest to both industry and academia

Advances in Signal Processing: Reviews, Book Series, Vol. 1

Advances in Signal Processing: Reviews, Book Series, Vol. 1
A Book

by Sergey Yurish

  • Publisher : Lulu.com
  • Release : 2018-11-25
  • Pages : 550
  • ISBN : 8409043297
  • Language : En, Es, Fr & De
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The principles of signal processing are using widely in telecommunications, control systems, sensors, smartphones, tablets, TV, video- and photo-cameras, computers, audio systems, etc. Written by 43 experienced and well-respected experts from universities, research centres and industry from 14 countries: Argentina, Australia, Brazil, China, Ecuador, France, Japan, Poland, Portugal, Spain, Switzerland, UK, Ukraine and USA the 'Advances is Signal Processing: Reviews', Vol. 1, Book Series, contains 13 chapters from the signals and systems theory to real-world applications. The authors discuss existing issues and ways to overcome these problems as well as the new challenges arising in the field. The book concludes with methods for the efficient implementation of algorithms in hardware and software. The advantages and disadvantages of different approaches are presented in the context of practical examples.

Academic Press Library in Signal Processing

Academic Press Library in Signal Processing
Signal Processing Theory and Machine Learning

by Anonim

  • Publisher : Academic Press
  • Release : 2013-09-21
  • Pages : 1480
  • ISBN : 0123972264
  • Language : En, Es, Fr & De
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This first volume, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in machine learning and advanced signal processing theory. With this reference source you will: Quickly grasp a new area of research Understand the underlying principles of a topic and its application Ascertain how a topic relates to other areas and learn of the research issues yet to be resolved Quick tutorial reviews of important and emerging topics of research in machine learning Presents core principles in signal processing theory and shows their applications Reference content on core principles, technologies, algorithms and applications Comprehensive references to journal articles and other literature on which to build further, more specific and detailed knowledge Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic

Biologically Inspired Signal Processing for Chemical Sensing

Biologically Inspired Signal Processing for Chemical Sensing
A Book

by Agustín Gutiérrez,Santiago Marco

  • Publisher : Springer
  • Release : 2009-02-18
  • Pages : 169
  • ISBN : 3642001769
  • Language : En, Es, Fr & De
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Biologically inspired approaches for artificial sensing have been extensively applied to different sensory modalities over the last decades and chemical senses have been no exception. The olfactory system, and the gustatory system to a minor extent, has been regarded as a model for the development of new artificial chemical sensing s- tems. One of the main contributions to this field was done by Persaud and Dodd in 1982 when they proposed a system based on an array of broad-selective chemical sensors coupled with a pattern recognition engine. The array aimed at mimicking the sensing strategy followed by the olfactory system where a population of bro- selective olfactory receptor neurons encodes for chemical information as patterns of activity across the neuron population. The pattern recognition engine proposed was not based on bio-inspired but on statistical methods. This influential work gave rise to a new line of research where this paradigm has been used to build chemical sensing instruments applied to a wide range of odor detection problems. More recently, some researchers have proposed to extend the biological inspiration of this system also to the processing of the sensor array signals. This has been mo- vated in part by the increasing body of knowledge available on biological olfaction, which has become in the last decade a focus of attention of the experimental neu- science community.

Digital Signal Processing

Digital Signal Processing
A Book

by Bernard Mulgrew Peter Grant & John Thompson

  • Publisher : Macmillan International Higher Education
  • Release : 2002-09-08
  • Pages : 380
  • ISBN : 1137083514
  • Language : En, Es, Fr & De
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Advanced Signal Processing on Brain Event-Related Potentials

Advanced Signal Processing on Brain Event-Related Potentials
Filtering ERPs in Time, Frequency and Space Domains Sequentially and Simultaneously

by Fengyu Cong,Tapani Ristaniemi,Heikki Lyytinen

  • Publisher : World Scientific
  • Release : 2015-04-08
  • Pages : 224
  • ISBN : 9814623105
  • Language : En, Es, Fr & De
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This book is devoted to the application of advanced signal processing on event-related potentials (ERPs) in the context of electroencephalography (EEG) for the cognitive neuroscience. ERPs are usually produced through averaging single-trials of preprocessed EEG, and then, the interpretation of underlying brain activities is based on the ordinarily averaged EEG. We find that randomly fluctuating activities and artifacts can still present in the averaged EEG data, and that constant brain activities over single trials can overlap with each other in time, frequency and spatial domains. Therefore, before interpretation, it will be beneficial to further separate the averaged EEG into individual brain activities. The book proposes systematic approaches pre-process wavelet transform (WT), independent component analysis (ICA), and nonnegative tensor factorization (NTF) to filter averaged EEG in time, frequency and space domains to sequentially and simultaneously obtain the pure ERP of interest. Software of the proposed approaches will be open-accessed. Contents:IntroductionWavelet Filter Design Based on Frequency Responses for Filtering ERP Data With Duration of One EpochIndividual-Level ICA to Extract the ERP Components from the Averaged EEG DataMulti-Domain Feature of the ERP Extracted by NTF: New Approach for Group-Level Analysis of ERPsAnalysis of Ongoing EEG by NTF During Real-World Music ExperiencesAppendix: Introduction to Basic Knowledge of Mismatch Negativity Readership: Undergraduate, graduate, researchers and professionals in the field of neurology/neuroscience, medical imaging, psychology, biomedical engineering and computer science. Key Features:Advanced signal processing approaches can be applied on averaged EEG to extract ERPs' componentsFiltering ERPs in time, frequency and space domains sequentially and simultaneouslyDemo of ERP data and MATLAB codes are open-access for the advanced signal processing approaches on ERPsKeywords:Event-Related Potentials (ERPs);Digital Filter;Wavelet Filter;Independent Component Analysis;Tensor Decomposition;Nonnegative Tensor Factorization;Time-Frequency Representation

Rotating Machinery and Signal Processing

Rotating Machinery and Signal Processing
Proceedings of the First Workshop on Signal Processing Applied to Rotating Machinery Diagnostics, SIGPROMD’2017, April 09-11, 2017, Setif, Algeria

by Ahmed Felkaoui,Fakher Chaari,Mohamed Haddar

  • Publisher : Springer
  • Release : 2018-08-24
  • Pages : 133
  • ISBN : 3319961810
  • Language : En, Es, Fr & De
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This book provides readers with a timely snapshot of the potential offered by and challenges posed by signal processing methods in the field of machine diagnostics and condition monitoring. It gathers contributions to the first Workshop on Signal Processing Applied to Rotating Machinery Diagnostics, held in Setif, Algeria, on April 9-10, 2017, and organized by the Applied Precision Mechanics Laboratory (LMPA) at the Institute of Precision Mechanics, University of Setif, Algeria and the Laboratory of Mechanics, Modeling and Manufacturing (LA2MP) at the National School of Engineers of Sfax. The respective chapters highlight research conducted by the two laboratories on the following main topics: noise and vibration in machines; condition monitoring in non-stationary operations; vibro-acoustic diagnosis of machinery; signal processing and pattern recognition methods; monitoring and diagnostic systems; and dynamic modeling and fault detection.

Foundations of Signal Processing

Foundations of Signal Processing
A Book

by Martin Vetterli,Jelena Kovačević,Vivek K. Goyal

  • Publisher : Cambridge University Press
  • Release : 2014-09-04
  • Pages : 744
  • ISBN : 110703860X
  • Language : En, Es, Fr & De
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This comprehensive and accessible textbook introduces students to the basics of modern signal processing techniques.

Wavelet Structure and Design

Wavelet Structure and Design
A Book

by Daniel J. Greenhoe

  • Publisher : Abstract Space Publishing
  • Release : 2013-08-21
  • Pages : 450
  • ISBN : 0983801134
  • Language : En, Es, Fr & De
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Multirate Statistical Signal Processing

Multirate Statistical Signal Processing
A Book

by Omid S. Jahromi

  • Publisher : Springer Science & Business Media
  • Release : 2007-05-15
  • Pages : 172
  • ISBN : 1402053177
  • Language : En, Es, Fr & De
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Multirate Statistical Signal Processing introduces a statistical theory for extracting information from related signals with different sampling rates. This new theory generalizes the conventional deterministic theory of multirate systems beyond many of its constraints. Further, it allows for the formulation and solution of new problems: spectrum estimation, time-delay estimation and sensor fusion in the realm of multirate signal processing. This self-contained book presents background material, potential applications and leading-edge research.

Modern Signal Processing

Modern Signal Processing
A Book

by Rockmore, Daniel Nahum Rockmore,Daniel N. Rockmore,Dennis M. Healy, Jr,Healy, Jr. (Dennis M.)

  • Publisher : Cambridge University Press
  • Release : 2004-04-05
  • Pages : 340
  • ISBN : 9780521827065
  • Language : En, Es, Fr & De
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Signal processing is ubiquitous in modern technology. Itsmathematical basis and many areas of application are the subject ofthis book, based on a series of graduate-level lectures held at theMathematical Sciences Research Institute. Emphasis is on currentchallenges, new techniques adapted to new technologies, and certainrecent advances in algorithms and theory.

Wavelets

Wavelets
A Mathematical Tool for Signal Analysis

by Charles K. Chui

  • Publisher : SIAM
  • Release : 1997-01-01
  • Pages : 210
  • ISBN : 0898713846
  • Language : En, Es, Fr & De
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Mathematically rigorous monograph on wavelets, written specifically for nonspecialists. Places the reader at the forefront of current research.