Gaussian Rate-Distortion via Sparse Regression over Compact Dictionaries

Details Gaussian Rate-Distortion via Sparse Regression over Compact Dictionaries Gaussian Rate-Distortion via Sparse Regression over Compact Dictionaries

2012-02-03

arxiv.org/abs/1202.0840v1

Computer Science

Information Theory

5 pages, Submitted to IEEE International Symposium on Information Theory, 2012

Scientific paper

We study a class of codes for compressing memoryless Gaussian sources, designed using the statistical framework of high-dimensional linear regression. Codewords are linear combinations of subsets of columns of a design matrix. With maximum-likelihood encoding we show that such a codebook can attain the rate-distortion function with the optimal error-exponent, for all distortions below a specified value. The structure of the codebook is motivated by an analogous construction proposed recently by Barron and Joseph for communication over an AWGN channel.

Affiliated with

Also associated with

No associations

Rating

Gaussian Rate-Distortion via Sparse Regression over Compact Dictionaries does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Gaussian Rate-Distortion via Sparse Regression over Compact Dictionaries, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Gaussian Rate-Distortion via Sparse Regression over Compact Dictionaries will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-329586