A Wavelet Tour of Signal Processing: The Sparse way download free [PDF and Ebook] by Stephane Mallat

A Wavelet Tour of Signal Processing: The Sparse way download free [PDF and Ebook] by Stephane Mallat year 2009
  • Book name: A Wavelet Tour of Signal Processing: The Sparse way
  • Author: Stephane Mallat
  • Release date: 2009/3/7
  • Publisher: ELSEVIER SCIENCE PUBLISHING CO INC
  • Language: English
  • Genre or Collection: Reference
  • ISBN: 9780123743701
  • Rating: 8.69 of 10
  • Votes: 561
  • Review by: Adilynn Gale
  • Review rating: 9.88 of 10
  • Review Date: 2018/11/30
  • Total pages: 832
  • Includes a PDF summary of 74 pages
  • Description or summary of the book: 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 UniversityThe 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 toolboxNew 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 exercisesA 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 Ecole 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.
  • Estimated reading time (average reader): 36H30M56S
  • Other categories, genre or collection: Electrical Engineering, Discrete Mathematics, Imaging Systems & Technology, Applied Mathematics, Information Theory, Signal Processing, Communications Engineering / Telecommunications, Computer Science
  • Available formats: LRF, EPUB, TXT, BMP, PDF, JPG, DOC, WORD. Compressed in TAR.7Z, RZ, 7-ZIP, RAR, ZIP
  • Download servers: 4Shared, OneDrive, Microsoft OneDrive, Uploaded, Google Drive
  • Format: Hardback
  • Approximate value: 103.99 USD
  • Dimensions: 191x235x45.72mm
  • Weight: 1,530g
  • Printed by: Academic Press Inc
  • Published in: San Diego, United States
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