By Stephane Mallat
The re-creation of this vintage publication offers the entire significant innovations, options and functions of sparse illustration, reflecting the major position the topic performs in ultra-modern sign processing. The ebook basically provides the normal representations with Fourier, wavelet and time-frequency transforms, and the development of orthogonal bases with quickly algorithms. The significant thought of sparsity is defined and utilized to sign compression, noise aid, and inverse difficulties, whereas insurance 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 carried out in WaveLab, a MATLAB toolbox
New during this edition
* Sparse sign representations in dictionaries
* Compressive sensing, super-resolution and resource separation
* Geometric photo processing with curvelets and bandlets
* Wavelets for special effects with lifting on surfaces
* Time-frequency audio processing and denoising
* picture 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 similar to photograph processing, video processing and compression, bio-sensing, clinical imaging, computing device 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 long island collage, and among 2001 and 2007, he co-founded and have become CEO of a picture processing semiconductor company.
application to JPEG 2000 and MPEG-4
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A Wavelet Tour of Signal Processing: The Sparse Way by Stephane Mallat