Sampling Rate Distortion

被引：0

作者：

Boda, Vinay Praneeth ^{[1
]}

Narayan, Prakash ^{[1
]}

机构：

[1] Univ Maryland, Dept Elect & Comp Engn, College Pk, MD 20742 USA

来源：

2014 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT) | 2014年

关键词：

Discrete memoryless multiple source; Gaussian source; random sampling; rate distortion; sampling rate distortion function; RECOVERY; BEHAVIOR;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页码：3057 / 3061

页数：5

共 28 条

[1] Berger T, 1971, Rate Distortion Theory. A Mathematical Basis for Data Compression
[2] Berger T., 1978, CISM COURSES LECT, V229, P171
[3] Robust uncertainty principles:: Exact signal reconstruction from highly incomplete frequency information
Candès, EJ
Romberg, J
Tao, T
[J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (02) : 489 - 509
[4] Near-optimal signal recovery from random projections: Universal encoding strategies?
Candes, Emmanuel J.
Tao, Terence
[J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (12) : 5406 - 5425
[5] Chen Z., 2013, ARXIV14011191
[6] DOBRUSHIN RL, 1962, IRE T INFORM THEOR, V8, pS293
[7] Compressed sensing
Donoho, DL
[J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (04) : 1289 - 1306
[8] Fletcher AK, 2007, INT CONF ACOUST SPEE, P885
[9] Denoising by sparse approximation: Error bounds based on rate-distortion theory
Fletcher, Alyson K.
Rangan, Sundeep
Goyal, Vivek K.
Ramchandran, Kannan
[J]. EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING, 2006, 2006 (1)
[10] Distributed Sampling of Signals Linked by Sparse Filtering: Theory and Applications
Hormati, Ali
Roy, Olivier
Lu, Yue M.
Vetterli, Martin
[J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2010, 58 (03) : 1095 - 1109

← 1 2 3 →