Title :
Memoryless sampling rate distortion
Author :
Vinay Praneeth Boda;Prakash Narayan
Author_Institution :
Department of Electrical and Computer Engineering, University of Maryland, College Park, 20742, USA
Abstract :
Consider a discrete memoryless multiple source with m component sources. A subset of k ≤ m sources are sampled at each time instant and jointly compressed in order to reconstruct all the m sources under a given distortion criterion. A sampling rate distortion function is characterized for the case of memoryless random sampling with the sampler possibly depending on the source outputs; and the decoder is informed of the sequence of sampled sets. Examining the structure of the optimal sampler, it is shown that deterministic sampling, characterized by a conditional point-mass, suffices. Restricted forms of sampling are also addressed. An upper bound for the sampling rate distortion function is provided when the decoder is not informed of the sequence of sampled sets.
Keywords :
"Rate-distortion","Decoding","Rate distortion theory","Encoding","Compressed sensing","Acoustic distortion"
Conference_Titel :
Communication, Control, and Computing (Allerton), 2015 53rd Annual Allerton Conference on
DOI :
10.1109/ALLERTON.2015.7447105