Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing - Tapa blanda

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 experiments throughout the book could help students make the transition from theory to practice and allow them to get hands-on experience with the inner workings of the various algorithms.”­­­ (Ewout van den Berg, SIAM Review, Vol. 53 (4), 2011)

“The concept of sparse representations for signals and images is explored in the book under review. ... The book offers an important and organized view of this field, setting the foundations of the future research. ... The presented book is written to serve as the material for an advanced one-semester graduate course for engineering students. It will be of interest for all specialists working in the area of sparse and redundant representations application in signal and image processing.” (Tzvetan Semerdjiev, Zentralblatt MATH, Vol. 1211, 2011)

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.