Download e-book for kindle: A Wavelet Tour of Signal Processing: The Sparse Way by Stephane Mallat

By Stephane Mallat

Mallat's ebook is the undisputed reference during this box - it's the just one that covers the basic fabric in such breadth and intensity. - Laurent Demanet, Stanford University

The new version of this vintage ebook provides all of the significant thoughts, concepts and purposes of sparse illustration, reflecting the main function the topic performs in state-of-the-art sign processing. The ebook in actual fact offers the normal representations with Fourier, wavelet and time-frequency transforms, and the development of orthogonal bases with quickly algorithms. The principal notion of sparsity is defined and utilized to sign compression, noise aid, and inverse difficulties, whereas assurance is given to sparse representations in redundant dictionaries, super-resolution and compressive sensing applications.


* Balances presentation of the math with purposes to sign processing
* Algorithms and numerical examples are applied in WaveLab, a MATLAB toolbox

New during this edition

* Sparse sign representations in dictionaries
* Compressive sensing, super-resolution and resource separation
* Geometric picture processing with curvelets and bandlets
* Wavelets for special effects with lifting on surfaces
* Time-frequency audio processing and denoising
* snapshot compression with JPEG-2000
* New and up to date exercises

A Wavelet journey of sign Processing: The Sparse manner, 3rd Edition, is a useful source for researchers and R&D engineers wishing to use the speculation in fields comparable to picture processing, video processing and compression, bio-sensing, scientific imaging, desktop imaginative and prescient and communications engineering.

Stephane Mallat is Professor in utilized arithmetic at École Polytechnique, Paris, France. From 1986 to 1996 he used to be a Professor on the Courant Institute of Mathematical Sciences at ny collage, and among 2001 and 2007, he co-founded and have become CEO of a picture processing semiconductor company.

  • Includes the entire most recent advancements because the publication used to be released in 1999, together with its
    application to JPEG 2000 and MPEG-4
  • Algorithms and numerical examples are applied in Wavelab, a MATLAB toolbox
  • Balances presentation of the maths with purposes to sign processing
  • Show description

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    A Wavelet Tour of Signal Processing: The Sparse Way by Stephane Mallat

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