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A Wavelet Tour of Signal Processing

A Wavelet Tour of Signal Processing
  • Author : Stephane Mallat
  • Publsiher : Academic Press
  • Release : 18 December 2008
  • ISBN : 9780080922027
  • Pages : 832 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKA Wavelet Tour of Signal Processing

Summary:
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 : 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

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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

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Ten Lectures on Wavelets

Ten Lectures on Wavelets
  • Author : Ingrid Daubechies
  • Publisher : SIAM
  • Release : 01 January 1992
GET THIS BOOKTen Lectures on Wavelets

Wavelets are a mathematical development that may revolutionize the world of information storage and retrieval according to many experts. They are a fairly simple mathematical tool now being applied to the compression of data--such as fingerprints, weather satellite photographs, and medical x-rays--that were previously thought to be impossible to condense without losing crucial details. This monograph contains 10 lectures presented by Dr. Daubechies as the principal speaker at the 1990 CBMS-NSF Conference on Wavelets and Applications. The author has worked on several

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A First Course on Wavelets

A First Course on Wavelets
  • Author : Eugenio Hernandez,Guido Weiss
  • Publisher : CRC Press
  • Release : 12 September 1996
GET THIS BOOKA First Course on Wavelets

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

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Wavelets

Wavelets
  • Author : Amir-Homayoon Najmi
  • Publisher : JHU Press
  • Release : 15 April 2012
GET THIS BOOKWavelets

Introduced nearly three decades ago as a variable resolution alternative to the Fourier transform, a wavelet is a short oscillatory waveform for analysis of transients. The discrete wavelet transform has remarkable multi-resolution and energy-compaction properties. Amir-Homayoon Najmi’s introduction to wavelet theory explains this mathematical concept clearly and succinctly. Wavelets are used in processing digital signals and imagery from myriad sources. They form the backbone of the JPEG2000 compression standard, and the Federal Bureau of Investigation uses biorthogonal wavelets to

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A First Course in Wavelets with Fourier Analysis

A First Course in Wavelets with Fourier Analysis
  • Author : Albert Boggess,Francis J. Narcowich
  • Publisher : John Wiley & Sons
  • Release : 21 August 2015
GET THIS BOOKA First Course in Wavelets with Fourier Analysis

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.

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

Linear Algebra, Signal Processing, and Wavelets - A Unified Approach
  • Author : Øyvind Ryan
  • Publisher : Springer
  • Release : 05 March 2019
GET THIS BOOKLinear Algebra, Signal Processing, and Wavelets - A Unified Approach

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

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Wavelet Methods for Time Series Analysis

Wavelet Methods for Time Series Analysis
  • Author : Donald B. Percival,Andrew T. Walden
  • Publisher : Cambridge University Press
  • Release : 27 February 2006
GET THIS BOOKWavelet Methods for Time Series Analysis

This introduction to wavelet analysis 'from the ground level and up', and to wavelet-based statistical analysis of time series focuses on practical discrete time techniques, with detailed descriptions of the theory and algorithms needed to understand and implement the discrete wavelet transforms. Numerous examples illustrate the techniques on actual time series. The many embedded exercises - with complete solutions provided in the Appendix - allow readers to use the book for self-guided study. Additional exercises can be used in a

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An Introduction to Scientific Computing

An Introduction to Scientific Computing
  • Author : Ionut Danaila,Pascal Joly,Sidi Mahmoud Kaber,Marie Postel
  • Publisher : Springer Science & Business Media
  • Release : 03 December 2007
GET THIS BOOKAn Introduction to Scientific Computing

This book demonstrates scientific computing by presenting twelve computational projects in several disciplines including Fluid Mechanics, Thermal Science, Computer Aided Design, Signal Processing and more. Each follows typical steps of scientific computing, from physical and mathematical description, to numerical formulation and programming and critical discussion of results. The text teaches practical methods not usually available in basic textbooks: numerical checking of accuracy, choice of boundary conditions, effective solving of linear systems, comparison to exact solutions and more. The final section

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Latent Variable Analysis and Signal Separation

Latent Variable Analysis and Signal Separation
  • Author : Emmanuel Vincent,Arie Yeredor,Zbyněk Koldovský,Petr Tichavský
  • Publisher : Springer
  • Release : 14 August 2015
GET THIS BOOKLatent Variable Analysis and Signal Separation

This book constitutes the proceedings of the 12th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICS 2015, held in Liberec, Czech Republic, in August 2015. The 61 revised full papers presented – 29 accepted as oral presentations and 32 accepted as poster presentations – were carefully reviewed and selected from numerous submissions. Five special topics are addressed: tensor-based methods for blind signal separation; deep neural networks for supervised speech separation/enhancement; joined analysis of multiple datasets, data fusion, and related topics; advances in nonlinear

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Computational Intelligence and Security

Computational Intelligence and Security
  • Author : Yunping Wang,Yiu-ming Cheung
  • Publisher : Springer Science & Business Media
  • Release : 21 August 2007
GET THIS BOOKComputational Intelligence and Security

This book constitutes the thoroughly refereed post-proceedings of the annual International Conference on Computational Intelligence and Security, CIS 2006, held in Guangzhou, China in November 2006. The 116 revised papers presented were carefully reviewed and selected from a total of 2078 initial submissions during two rounds of revision and improvement. The papers are organized in topical sections on bio-inspired computing, evolutionary computation, learning systems and multi-agents, cryptography, information processing and intrusion detection, systems and security, image and signal processin.

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Wavelet Theory and Its Applications

Wavelet Theory and Its Applications
  • Author : Randy K. Young
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOKWavelet Theory and Its Applications

The continuous wavelet transform has deep mathematical roots in the work of Alberto P. Calderon. His seminal paper on complex method of interpolation and intermediate spaces provided the main tool for describing function spaces and their approximation properties. The Calderon identities allow one to give integral representations of many natural operators by using simple pieces of such operators, which are more suited for analysis. These pieces, which are essentially spectral projections, can be chosen in clever ways and have proved

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