A Wavelet Tour of Signal Processing

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

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  • Author : Stephane Mallat
  • Publisher : Elsevier
  • Pages : 620 pages
  • ISBN : 9780080520834
  • Rating : 5/5 from 2 reviews
CLICK HERE TO GET THIS BOOKA Wavelet Tour of Signal Processing

A Wavelet Tour of Signal Processing

A Wavelet Tour of Signal Processing
  • Author : Stephane Mallat
  • Publisher : Academic Press
  • Release : 18 December 2008
GET THIS BOOKA Wavelet Tour of Signal Processing

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

A Wavelet Tour of Signal Processing

A Wavelet Tour of Signal Processing
  • Author : Stephane Mallat
  • Publisher : Elsevier
  • Release : 14 September 1999
GET THIS BOOKA Wavelet Tour of Signal Processing

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

A Wavelet Tour of Signal Processing, 3rd Edition

A Wavelet Tour of Signal Processing, 3rd Edition
  • Author : Stephane Mallat
  • Publisher : Unknown Publisher
  • Release : 17 January 2021
GET THIS BOOKA Wavelet Tour of Signal Processing, 3rd Edition

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

Digital Signal Processing Using MATLAB & Wavelets

Digital Signal Processing Using MATLAB & Wavelets
  • Author : Michael Weeks
  • Publisher : Jones & Bartlett Publishers
  • Release : 17 January 2021
GET THIS BOOKDigital Signal Processing Using MATLAB & Wavelets

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

Wavelets and Subband Coding

Wavelets and Subband Coding
  • Author : Jelena Kovacevic,Martin Vetterli
  • Publisher : Prentice Hall
  • Release : 17 January 1995
GET THIS BOOKWavelets and Subband Coding

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

Sparse and Redundant Representations

Sparse and Redundant Representations
  • Author : Michael Elad
  • Publisher : Springer Science & Business Media
  • Release : 12 August 2010
GET THIS BOOKSparse and Redundant Representations

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

Wavelets

Wavelets
  • Author : Amir-Homayoon Najmi
  • Publisher : JHU Press
  • Release : 27 March 2012
GET THIS BOOKWavelets

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
  • Publisher : CRC Press
  • Release : 08 October 2018
GET THIS BOOKWavelets

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.

A Friendly Guide to Wavelets

A Friendly Guide to Wavelets
  • Author : Gerald Kaiser
  • Publisher : Springer Science & Business Media
  • Release : 03 November 2010
GET THIS BOOKA Friendly Guide to Wavelets

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

An Introduction to Wavelet Analysis

An Introduction to Wavelet Analysis
  • Author : David F. Walnut
  • Publisher : Springer Science & Business Media
  • Release : 11 December 2013
GET THIS BOOKAn Introduction to Wavelet Analysis

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 Wavelet Tour of Signal Processing

A Wavelet Tour of Signal Processing
  • Author : Stephane Mallat
  • Publisher : Elsevier
  • Release : 14 September 1999
GET THIS BOOKA Wavelet Tour of Signal Processing

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

Fundamental Papers in Wavelet Theory

Fundamental Papers in Wavelet Theory
  • Author : Christopher Heil,David F. Walnut
  • Publisher : Princeton University Press
  • Release : 10 January 2009
GET THIS BOOKFundamental Papers in Wavelet Theory

This book traces the prehistory and initial development of wavelet theory, a discipline that has had a profound impact on mathematics, physics, and engineering. Interchanges between these fields during the last fifteen years have led to a number of advances in applications such as image compression, turbulence, machine vision, radar, and earthquake prediction. This book contains the seminal papers that presented the ideas from which wavelet theory evolved, as well as those major papers that developed the theory into its