Wednesday, May 21, 2014

Sparsity-Aware Learning and Compressed Sensing: An Overview

Yannis Kopsinis sent this to me about 17 months ago ! Yes, sometimes, some emails fall through the cracks, actually, a blog entry never gets published for one reason or another. Sorry about that Yannis !

Dear Igor,
I am writing just to let you know about a new review article on sparsity-aware learning and compressed sensing, which can be found in It is basically a chapter from a book on Machine Learning which is on preparation by Sergios Theodoridis and Konstantinos Slavakis.
The review is still very much relevant especially as it makes a connection between compressive sensing and machine learning, here it is: Sparsity-Aware Learning and Compressed Sensing: An Overview by Sergios Theodoridis, Yannis Kopsinis, Konstantinos Slavakis
This paper is based on a chapter of a new book on Machine Learning, by the first and third author, which is currently under preparation. We provide an overview of the major theoretical advances as well as the main trends in algorithmic developments in the area of sparsity-aware learning and compressed sensing. Both batch processing and online processing techniques are considered. A case study in the context of time-frequency analysis of signals is also presented. Our intent is to update this review from time to time, since this is a very hot research area with a momentum and speed that is sometimes difficult to follow up.

Image Credit: NASA/JPL/Space Science Institute
N00224149.jpg was taken on May 19, 2014 and received on Earth May 19, 2014. The camera was pointing toward TITAN at approximately 443,972 miles (714,504 kilometers) away, and the image was taken using the BL1 and CL2 filters. 

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