Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing /
The field of sparse and redundant representation modeling has gone through a major revolution in the past two decades. This started with a series of algorithms for approximating the sparsest solutions of linear systems of equations, later to be followed by surprising theoretical results that guarant...
Main Author: | Elad, Michael (Author) |
---|---|
Corporate Author: | SpringerLink (Online service) |
Format: | Electronic eBook |
Language: | English |
Published: |
New York, NY :
Springer New York,
2010.
|
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Similar Items
-
Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing
by: Elad, Michael
Published: (2010) -
Finite Frames Theory and Applications /
Published: (2013) -
Approximation Theory From Taylor Polynomials to Wavelets /
by: Christensen, Ole, et al.
Published: (2005) -
Nonlinear Smoothing and Multiresolution Analysis
by: Rohwer, Carl
Published: (2005) -
Operator-Related Function Theory and Time-Frequency Analysis The Abel Symposium 2012 /
Published: (2015)