Title :
Variable-Length Lossy Source Code Using a Constrained-Random-Number Generator
Author_Institution :
NTT Communication Science Laboratories, NTT Corporation, Kyoto, Japan
Abstract :
A variable-length lossy source code is introduced with a rate-distortion pair close to the rate-distortion function. Random numbers that satisfy a condition specified by a function and its value are used to construct a stochastic encoder. The proof of the theorem is based on the balanced-coloring property of an ensemble of functions. Since an ensemble of systematic sparse matrices has this property, we can construct a tractable code for a memoryless source. Some algorithms for implementing the code are introduced and compared by simulation.
Keywords :
Decoding; Encoding; Probability distribution; Quantization (signal); Rate-distortion; Sparse matrices; Systematics; Balanced-coloring property; Gibbs sampling; balanced-coloring property; constrained-random-number generator; constrainedrandom-number generator; rate-distortion theory; sparse matrix; sum-product algorithm; variable length lossy source code;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2015.2428238