A Wavelet Tour of Signal Processing

A Wavelet Tour of Signal Processing
Author: Stephane Mallat
Publsiher: Elsevier
Total Pages: 620
Release: 1999-09-14
ISBN 10: 9780080520834
ISBN 13: 0080520839
Language: EN, FR, DE, ES & NL

A Wavelet Tour of Signal Processing Book Review:

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

A Wavelet Tour of Signal Processing

A Wavelet Tour of Signal Processing
Author: Stephane Mallat
Publsiher: Academic Press
Total Pages: 832
Release: 2008-12-18
ISBN 10: 9780080922027
ISBN 13: 0080922023
Language: EN, FR, DE, ES & NL

A Wavelet Tour of Signal Processing Book Review:

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

A Wavelet Tour of Signal Processing
Author: Chibli Mallat,STEPHANE AUTOR MALLAT,Stephane Mallat
Publsiher: Springer Science & Business
Total Pages: 637
Release: 1999-09-17
ISBN 10: 9780124666061
ISBN 13: 012466606X
Language: EN, FR, DE, ES & NL

A Wavelet Tour of Signal Processing Book Review:

Introduction to a Transient World. Fourier Kingdom. Discrete Revolution. Time Meets Frequency. Frames. Wavelet Zoom. Wavelet Bases. Wavelet Packet and Local Cosine Bases. An Approximation Tour. Estimations are Approximations. Transform Coding. Appendix A: Mathematical Complements. Appendix B: Software Toolboxes.

Conceptual Wavelets in Digital Signal Processing

Conceptual Wavelets in Digital Signal Processing
Author: D. Lee Fugal
Publsiher: Anonim
Total Pages: 302
Release: 2009
ISBN 10:
ISBN 13: UCSD:31822037175338
Language: EN, FR, DE, ES & NL

Conceptual Wavelets in Digital Signal Processing Book Review:

Digital Signal Processing Using MATLAB Wavelets

Digital Signal Processing Using MATLAB   Wavelets
Author: Michael Weeks
Publsiher: Jones & Bartlett Publishers
Total Pages: 492
Release: 2011
ISBN 10: 0763784222
ISBN 13: 9780763784225
Language: EN, FR, DE, ES & NL

Digital Signal Processing Using MATLAB Wavelets Book Review:

Although Digital Signal Processing (DSP) has long been considered an electrical engineering topic, recent developments have also generated significant interest from the computer science community. DSP applications in the consumer market, such as bioinformatics, the MP3 audio format, and MPEG-based cable/satellite television have fueled a desire to understand this technology outside of hardware circles. Designed for upper division engineering and computer science students as well as practicing engineers and scientists, Digital Signal Processing Using MATLAB & Wavelets, Second Edition emphasizes the practical applications of signal processing. Over 100 MATLAB examples and wavelet techniques provide the latest applications of DSP, including image processing, games, filters, transforms, networking, parallel processing, and sound. This Second Edition also provides the mathematical processes and techniques needed to ensure an understanding of DSP theory. Designed to be incremental in difficulty, the book will benefit readers who are unfamiliar with complex mathematical topics or those limited in programming experience. Beginning with an introduction to MATLAB programming, it moves through filters, sinusoids, sampling, the Fourier transform, the z-transform and other key topics. Two chapters are dedicated to the discussion of wavelets and their applications. A CD-ROM (platform independent) accompanies the book and contains source code, projects for each chapter, and the figures from the book.

A Wavelet Tour of Signal Processing 3rd Edition

A Wavelet Tour of Signal Processing  3rd Edition
Author: Stephane Mallat
Publsiher: Anonim
Total Pages: 832
Release: 2008
ISBN 10:
ISBN 13: OCLC:1105793121
Language: EN, FR, DE, ES & NL

A Wavelet Tour of Signal Processing 3rd Edition Book Review:

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.

Wavelets and Subband Coding

Wavelets and Subband Coding
Author: Jelena Kovacevic,Martin Vetterli
Publsiher: Prentice Hall
Total Pages: 488
Release: 1995
ISBN 10: 9780130970800
ISBN 13: 0130970808
Language: EN, FR, DE, ES & NL

Wavelets and Subband Coding Book Review:

A central goal of signal processing is to describe real-time signals, be it for computation, compression, or understanding. This book presents a unified view of wavelets and subband coding with a signal processing perspective. Covers the discrete-time case, or filter banks; development of wavelets; continuous wavelet and local Fourier transforms; efficient algorithms for filter banks and wavelet computations; and signal compression. *provides broad coverage of theory and applications and a different perspective based on signal processing. *gives framework for applications in speech, audio, image and video compression as used in multimedia. *includes sufficient background material so that people without signal processing knowledge will find it useful.

Sparse and Redundant Representations

Sparse and Redundant Representations
Author: Michael Elad
Publsiher: Springer Science & Business Media
Total Pages: 376
Release: 2010-08-12
ISBN 10: 1441970118
ISBN 13: 9781441970114
Language: EN, FR, DE, ES & NL

Sparse and Redundant Representations Book Review:

A long long time ago, echoing philosophical and aesthetic principles that existed since antiquity, William of Ockham enounced the principle of parsimony, better known today as Ockham’s razor: “Entities should not be multiplied without neces sity. ” This principle enabled scientists to select the ”best” physical laws and theories to explain the workings of the Universe and continued to guide scienti?c research, leadingtobeautifulresultsliketheminimaldescriptionlength approachtostatistical inference and the related Kolmogorov complexity approach to pattern recognition. However, notions of complexity and description length are subjective concepts anddependonthelanguage“spoken”whenpresentingideasandresults. The?eldof sparse representations, that recently underwent a Big Bang like expansion, explic itly deals with the Yin Yang interplay between the parsimony of descriptions and the “language” or “dictionary” used in them, and it became an extremely exciting area of investigation. It already yielded a rich crop of mathematically pleasing, deep and beautiful results that quickly translated into a wealth of practical engineering applications. You are holding in your hands the ?rst guide book to Sparseland, and I am sure you’ll ?nd in it both familiar and new landscapes to see and admire, as well as ex cellent pointers that will help you ?nd further valuable treasures. Enjoy the journey to Sparseland! Haifa, Israel, December 2009 Alfred M. Bruckstein vii Preface This book was originally written to serve as the material for an advanced one semester (fourteen 2 hour lectures) graduate course for engineering students at the Technion, Israel.

Wavelets

Wavelets
Author: Amir-Homayoon Najmi
Publsiher: JHU Press
Total Pages: 304
Release: 2012-03-27
ISBN 10: 1421405598
ISBN 13: 9781421405599
Language: EN, FR, DE, ES & NL

Wavelets Book Review:

Najmi’s primer will be an indispensable resource for those in computer science, the physical sciences, applied mathematics, and engineering who wish to obtain an in-depth understanding and working knowledge of this fascinating and evolving field.

Wavelets

Wavelets
Author: Christian Blatter
Publsiher: CRC Press
Total Pages: 212
Release: 2018-10-08
ISBN 10: 1439863970
ISBN 13: 9781439863978
Language: EN, FR, DE, ES & NL

Wavelets Book Review:

The Wavelet Transform has stimulated research that is unparalleled since the invention of the Fast Fourier Transform and has opened new avenues of applications in signal processing, image compression, radiology, cardiology, and many other areas. This book grew out of a short course for mathematics students at the ETH in Zurich; it provides a solid mathematical foundation for the broad range of applications enjoyed by the wavelet transform. Numerous illustrations and fully worked out examples enhance the book.

Wavelets and Filter Banks

Wavelets and Filter Banks
Author: Gilbert Strang,Truong Nguyen
Publsiher: SIAM
Total Pages: 541
Release: 1996-10-01
ISBN 10: 9780961408879
ISBN 13: 0961408871
Language: EN, FR, DE, ES & NL

Wavelets and Filter Banks Book Review:

A comprehensive treatment of wavelets for both engineers and mathematicians.

A Friendly Guide to Wavelets

A Friendly Guide to Wavelets
Author: Gerald Kaiser
Publsiher: Springer Science & Business Media
Total Pages: 300
Release: 2010-11-03
ISBN 10: 9780817681111
ISBN 13: 0817681116
Language: EN, FR, DE, ES & NL

A Friendly Guide to Wavelets Book Review:

This volume is designed as a textbook for an introductory course on wavelet analysis and time-frequency analysis aimed at graduate students or advanced undergraduates in science and engineering. It can also be used as a self-study or reference book by practicing researchers in signal analysis and related areas. Since the expected audience is not presumed to have a high level of mathematical background, much of the needed analytical machinery is developed from the beginning. The only prerequisites for the first eight chapters are matrix theory, Fourier series, and Fourier integral transforms. Each of these chapters ends with a set of straightforward exercises designed to drive home the concepts just covered, and the many graphics should further facilitate absorption.

An Introduction to Wavelet Analysis

An Introduction to Wavelet Analysis
Author: David F. Walnut
Publsiher: Springer Science & Business Media
Total Pages: 452
Release: 2013-12-11
ISBN 10: 1461200016
ISBN 13: 9781461200017
Language: EN, FR, DE, ES & NL

An Introduction to Wavelet Analysis Book Review:

This book provides a comprehensive presentation of the conceptual basis of wavelet analysis, including the construction and analysis of wavelet bases. It motivates the central ideas of wavelet theory by offering a detailed exposition of the Haar series, then shows how a more abstract approach allows readers to generalize and improve upon the Haar series. It then presents a number of variations and extensions of Haar construction.

A First Course on Wavelets

A First Course on Wavelets
Author: Eugenio Hernandez,Guido Weiss
Publsiher: CRC Press
Total Pages: 489
Release: 1996-09-12
ISBN 10: 9781420049985
ISBN 13: 1420049984
Language: EN, FR, DE, ES & NL

A First Course on Wavelets Book Review:

Wavelet theory had its origin in quantum field theory, signal analysis, and function space theory. In these areas wavelet-like algorithms replace the classical Fourier-type expansion of a function. This unique new book is an excellent introduction to the basic properties of wavelets, from background math to powerful applications. The authors provide elementary methods for constructing wavelets, and illustrate several new classes of wavelets. The text begins with a description of local sine and cosine bases that have been shown to be very effective in applications. Very little mathematical background is needed to follow this material. A complete treatment of band-limited wavelets follows. These are characterized by some elementary equations, allowing the authors to introduce many new wavelets. Next, the idea of multiresolution analysis (MRA) is developed, and the authors include simplified presentations of previous studies, particularly for compactly supported wavelets. Some of the topics treated include: Several bases generated by a single function via translations and dilations Multiresolution analysis, compactly supported wavelets, and spline wavelets Band-limited wavelets Unconditionality of wavelet bases Characterizations of many of the principal objects in the theory of wavelets, such as low-pass filters and scaling functions The authors also present the basic philosophy that all orthonormal wavelets are completely characterized by two simple equations, and that most properties and constructions of wavelets can be developed using these two equations. Material related to applications is provided, and constructions of splines wavelets are presented. Mathematicians, engineers, physicists, and anyone with a mathematical background will find this to be an important text for furthering their studies on wavelets.

Foundations of Signal Processing

Foundations of Signal Processing
Author: Martin Vetterli,Jelena Kovačević,Vivek K. Goyal
Publsiher: Cambridge University Press
Total Pages: 744
Release: 2014-09-04
ISBN 10: 110703860X
ISBN 13: 9781107038608
Language: EN, FR, DE, ES & NL

Foundations of Signal Processing Book Review:

This comprehensive and accessible textbook introduces students to the basics of modern signal processing techniques.

Wavelets and their Applications

Wavelets and their Applications
Author: Michel Misiti,Yves Misiti,Georges Oppenheim,Jean-Michel Poggi
Publsiher: John Wiley & Sons
Total Pages: 330
Release: 2013-03-01
ISBN 10: 1118613597
ISBN 13: 9781118613597
Language: EN, FR, DE, ES & NL

Wavelets and their Applications Book Review:

The last 15 years have seen an explosion of interest in waveletswith applications in fields such as image compression, turbulence,human vision, radar and earthquake prediction. Wavelets represent an area that combines signal in imageprocessing, mathematics, physics and electrical engineering. As such, this title is intended for the wide audience that isinterested in mastering the basic techniques in this subject area,such as decomposition and compression.

Introduction to Wavelets and Wavelet Transforms

Introduction to Wavelets and Wavelet Transforms
Author: Sidny Burrus,C. S. Burrus,Ramesh A. Gopinath,Haitao Guo,JAN E AUTOR ODEGARD,IVAN W AUTOR SELESNICK
Publsiher: Pearson
Total Pages: 268
Release: 1998
ISBN 10:
ISBN 13: STANFORD:36105019319495
Language: EN, FR, DE, ES & NL

Introduction to Wavelets and Wavelet Transforms Book Review:

Advanced undergraduate and beginning graduate students, faculty, researchers and practitioners in signal processing, telecommunications, and computer science, and applied mathematics. It assumes a background of Fourier series and transforms and of linear algebra and matrix methods. This primer presents a well balanced blend of the mathematical theory underlying wavelet techniques and a discussion that gives insight into why wavelets are successful in signal analysis, compression, dection, numerical analysis, and a wide variety of other theoretical and practical applications. It fills a gap in the existing wavelet literature with its unified view of expansions of signals into bases and frames, as well as the use of filter banks as descriptions and algorithms.

Linear Algebra Signal Processing and Wavelets A Unified Approach

Linear Algebra  Signal Processing  and Wavelets   A Unified Approach
Author: Øyvind Ryan
Publsiher: Springer
Total Pages: 360
Release: 2019-03-05
ISBN 10: 3030018121
ISBN 13: 9783030018122
Language: EN, FR, DE, ES & NL

Linear Algebra Signal Processing and Wavelets A Unified Approach Book Review:

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 MATLAB 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.

A First Course in Wavelets with Fourier Analysis

A First Course in Wavelets with Fourier Analysis
Author: Albert Boggess,Francis J. Narcowich
Publsiher: John Wiley & Sons
Total Pages: 336
Release: 2015-08-21
ISBN 10: 1119214327
ISBN 13: 9781119214328
Language: EN, FR, DE, ES & NL

A First Course in Wavelets with Fourier Analysis Book Review:

A comprehensive, self-contained treatment of Fourier analysis and wavelets—now in a new edition Through expansive coverage and easy-to-follow explanations, A First Course in Wavelets with Fourier Analysis, Second Edition provides a self-contained mathematical treatment of Fourier analysis and wavelets, while uniquely presenting signal analysis applications and problems. Essential and fundamental ideas are presented in an effort to make the book accessible to a broad audience, and, in addition, their applications to signal processing are kept at an elementary level. The book begins with an introduction to vector spaces, inner product spaces, and other preliminary topics in analysis. Subsequent chapters feature: The development of a Fourier series, Fourier transform, and discrete Fourier analysis Improved sections devoted to continuous wavelets and two-dimensional wavelets The analysis of Haar, Shannon, and linear spline wavelets The general theory of multi-resolution analysis Updated MATLAB code and expanded applications to signal processing The construction, smoothness, and computation of Daubechies' wavelets Advanced topics such as wavelets in higher dimensions, decomposition and reconstruction, and wavelet transform Applications to signal processing are provided throughout the book, most involving the filtering and compression of signals from audio or video. Some of these applications are presented first in the context of Fourier analysis and are later explored in the chapters on wavelets. New exercises introduce additional applications, and complete proofs accompany the discussion of each presented theory. Extensive appendices outline more advanced proofs and partial solutions to exercises as well as updated MATLAB routines that supplement the presented examples. A First Course in Wavelets with Fourier Analysis, Second Edition is an excellent book for courses in mathematics and engineering at the upper-undergraduate and graduate levels. It is also a valuable resource for mathematicians, signal processing engineers, and scientists who wish to learn about wavelet theory and Fourier analysis on an elementary level.

Wavelet Transforms and Their Applications

Wavelet Transforms and Their Applications
Author: Lokenath Debnath,Firdous Ahmad Shah
Publsiher: Springer
Total Pages: 553
Release: 2014-11-25
ISBN 10: 0817684182
ISBN 13: 9780817684181
Language: EN, FR, DE, ES & NL

Wavelet Transforms and Their Applications Book Review:

This textbook is an introduction to wavelet transforms and accessible to a larger audience with diverse backgrounds and interests in mathematics, science, and engineering. Emphasis is placed on the logical development of fundamental ideas and systematic treatment of wavelet analysis and its applications to a wide variety of problems as encountered in various interdisciplinary areas. Topics and Features: * This second edition heavily reworks the chapters on Extensions of Multiresolution Analysis and Newlands’s Harmonic Wavelets and introduces a new chapter containing new applications of wavelet transforms * Uses knowledge of Fourier transforms, some elementary ideas of Hilbert spaces, and orthonormal systems to develop the theory and applications of wavelet analysis * Offers detailed and clear explanations of every concept and method, accompanied by carefully selected worked examples, with special emphasis given to those topics in which students typically experience difficulty * Includes carefully chosen end-of-chapter exercises directly associated with applications or formulated in terms of the mathematical, physical, and engineering context and provides answers to selected exercises for additional help Mathematicians, physicists, computer engineers, and electrical and mechanical engineers will find Wavelet Transforms and Their Applications an exceptionally complete and accessible text and reference. It is also suitable as a self-study or reference guide for practitioners and professionals.