Deterministic Generative Models for Fast Feature Discovery
Data Mining and Knowledge Discovery
Quantizers with Uniform Encoders and Channel Optimized Decoders
DCC '02 Proceedings of the Data Compression Conference
Distributed quantization over noisy channels
IEEE Transactions on Communications
| Hi-index | 754.84 |
We determine analytic expressions for the performance of some low-complexity combined source-channel coding systems. The main tool used is the Hadamard transform. In particular, we obtain formulas for the average distortion of binary lattice vector quantization with affine index assignments, linear block channel coding, and a binary-symmetric channel. The distortion formulas are specialized to nonredundant channel codes for a binary-symmetric channel, and then extended to affine index assignments on a binary-asymmetric channel. Various structured index assignments are compared. Our analytic formulas provide a computationally efficient method for determining the performance of various coding schemes. One interesting result shown is that for a uniform source and uniform quantizer, the natural binary code is never optimal for a nonsymmetric channel, even though it is known to be optimal for a symmetric channel