Name
Abstract | ||
|---|---|---|
We consider encoding of a source with pre-specified second-order statistics, but otherwise arbitrary, by entropy-coded dithered (lattice) quantization (ECDQ) incorporating linear pre- and post-filters. In the design and analysis of this scheme we utilize the equivalent additive-noise channel model of the ECDQ. For Gaussian sources and a square error distortion measure, the coding performance of the pre/post filtered ECDQ approaches the rate-distortion function, as the dimension of the (optimal) lattice quantizer becomes large; actually, in this case the proposed coding scheme simulates the optimal forward channel realization of the rate-distortion function. For non-Gaussian sources and finite-dimensional lattice quantizers, the coding rate exceeds the rate-distortion function by at most the sum of two terms: the “information divergence of the source from Gaussianity” and the “information divergence of the quantization noise from Gaussianity”. Additional bounds on the excess rate of the scheme from the rate-distortion function are also provided |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1109/18.532876 | IEEE Transactions on Information Theory |
Keywords | DocType | Volume |
gaussian source,equivalent additive-noise channel model,coding rate,post-filtered dithered quantizers,information divergence,excess rate,lattice quantizer,rate-distortion function,information rate,proposed coding scheme,finite-dimensional lattice quantizers,coding performance,entropy,gaussian noise,lattices,quantization | Journal | 42 |
Issue | ISSN | Citations |
5 | 0018-9448 | 49 |
PageRank | References | Authors |
6.05 | 14 | 2 |