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Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing
Michael Elad
€ 79.02
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Description for Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing
paperback. This book introduces sparse and redundant representations with a focus on applications in signal and image processing. It details mathematical modeling for signal sources along with how to use the model for tasks such as denoising, restoration and separation. Num Pages: 396 pages, biography. BIC Classification: PBK; PBKJ; PBU; PBWH; TTBM; UYT. Category: (G) General (US: Trade). Dimension: 235 x 155 x 21. Weight in Grams: 605.
A long long time ago, echoing philosophical and aesthetic principles that existed since antiquity, William of Ockham enounced the principle of parsimony, better known today as Ockham’s razor: “Entities should not be multiplied without neces sity. ” This principle enabled scientists to select the ”best” physical laws and theories to explain the workings of the Universe and continued to guide scienti?c research, leadingtobeautifulresultsliketheminimaldescriptionlength approachtostatistical inference and the related Kolmogorov complexity approach to pattern recognition. However, notions of complexity and description length are subjective concepts anddependonthelanguage“spoken”whenpresentingideasandresults. The?eldof sparse representations, that recently underwent a Big Bang like expansion, explic itly deals with ... Read more
A long long time ago, echoing philosophical and aesthetic principles that existed since antiquity, William of Ockham enounced the principle of parsimony, better known today as Ockham’s razor: “Entities should not be multiplied without neces sity. ” This principle enabled scientists to select the ”best” physical laws and theories to explain the workings of the Universe and continued to guide scienti?c research, leadingtobeautifulresultsliketheminimaldescriptionlength approachtostatistical inference and the related Kolmogorov complexity approach to pattern recognition. However, notions of complexity and description length are subjective concepts anddependonthelanguage“spoken”whenpresentingideasandresults. The?eldof sparse representations, that recently underwent a Big Bang like expansion, explic itly deals with ... Read more
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer United States
Number of pages
396
Condition
New
Number of Pages
376
Place of Publication
New York, United States
ISBN
9781489982452
SKU
V9781489982452
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Michael Elad
Michael Elad has been working at The Technion in Haifa, Israel, since 2003 and is currently an Associate Professor. He is one of the leaders in the field of sparse representations. He does prolific research in mathematical signal processing with more than 60 publications in top ranked journals. He is very well recognized and respected in the scientific community.
Reviews for Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing
From the reviews: “This book approaches sparse and redundant representations from an engineering perspective and emphasizes their use as a signal modeling tool and their application in image and signal processing. … This book is well suited to practitioners in the signals and image processing community … . The public availability of the source code used in the numerical ... Read more