Title :
Sampling rate distortion
Author :
Boda, Vinay Praneeth ; Narayan, Prakash
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Maryland, College Park, MD, USA
fDate :
June 29 2014-July 4 2014
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 fixed sampling; and for independent and memoryless random sampling when the decoder is informed of the sequence of sampled sets. Inner bounds are provided when the decoder is uninformed. For jointly Gaussian sources under the mean-squared error criterion, a counterpart result for fixed sampling is given.
Keywords :
Gaussian processes; sampling methods; component sources; discrete memoryless multiple source; fixed sampling; jointly Gaussian sources; mean-squared error criterion; random sampling; sampling rate distortion function; Decoding; Distortion; Rate distortion theory; Rate-distortion; Sensors; Source coding; Discrete memoryless multiple source; Gaussian source; random sampling; rate distortion; sampling rate distortion function;
Conference_Titel :
Information Theory (ISIT), 2014 IEEE International Symposium on
Conference_Location :
Honolulu, HI
DOI :
10.1109/ISIT.2014.6875396