Conference
Learning-based Recovery of Compressive Sensing with Application in Multiple Description Coding
Abstract
The recently proposed compressive sensing (CS) theory provides a new solution for multiple description coding (MDC) with fine granularity, by treating each random CS measurement as a description. The performance of CS-based MDC (CS-MDC) depends on the efficacy of the CS recovery algorithm. Existing CS recovery algorithms recover the signal in a fixed space (e.g., Wavelet, DCT, and gradient spaces) for the entire duration of the signal, even …
Authors
Wu F; Shi G; Dong W; Wu X
Pagination
pp. 1-5
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
October 1, 2009
DOI
10.1109/mmsp.2009.5293283
Name of conference
2009 IEEE International Workshop on Multimedia Signal Processing