DocumentCode :
2515712
Title :
Rate-distortion in near-linear time
Author :
Gupta, Ankit ; Verdu, Sergio ; Weissman, Tsachy
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., Princeton, NJ
fYear :
2008
fDate :
6-11 July 2008
Firstpage :
847
Lastpage :
851
Abstract :
We present two results related to the computational complexity of lossy compression. The first result shows that for a memoryless source Ps with rate-distortion function R(D), the rate-distortion pair (R(D) + gamma, D + isin) can be achieved with constant decoding time per symbol and encoding time per symbol proportional to C1(gamma)isin-C2(gamma). The second results establishes that for any given R, there exists a universal lossy compression scheme with O(ng(n)) encoding complexity and O(n) decoding complexity, that achieves the point (R,D(R)) asymptotically for any ergodic source with distortion-rate function D(.), where g(n) is an arbitrary non-decreasing unbounded function. A computationally feasible implementation of the first scheme outperforms many of the best previously proposed schemes for binary sources with blocklengths of the order of 1000.
Keywords :
computational complexity; data compression; decoding; linear codes; memoryless systems; rate distortion theory; arbitrary nondecreasing unbounded function; computational complexity; decoding complexity; encoding complexity; ergodic source; lossy compression; memoryless source; rate-distortion function; Block codes; Computational complexity; Decoding; Encoding; Polynomials; Rate-distortion; Sparse matrices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2008. ISIT 2008. IEEE International Symposium on
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-2256-2
Electronic_ISBN :
978-1-4244-2257-9
Type :
conf
DOI :
10.1109/ISIT.2008.4595106
Filename :
4595106
Link To Document :
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