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, M (Michael) |
---|---|
Format: | Book |
Language: | English |
Published: |
New York :
Springer Science+Business Media, LLC,
c2010
New York : Springer, ©2010 |
Subjects: |
Similar Items
-
Sparse and redundant representations : from theory to applications in signal and image processing /
by: Elad, M (Michael), et al.
Published: (2010) -
Sparse representations and compressive sensing for imaging and vision
by: Patel, Vishal M
Published: (2013) -
Fourier transforms : principles and applications /
by: Hansen, Eric W (Eric William), 1954-, et al.
Published: (2014) -
Signal and image representation in combined spaces /
Published: (1998) -
Mathematical methods in signal processing and digital image analysis /
Published: (2008)