Deterministic Generative Models for Fast Feature Discovery
Data Mining and Knowledge Discovery
Using geometrical properties for fast indexation of Gaussian vector quantizers
EURASIP Journal on Applied Signal Processing
A new measure of index assignment in dynamic channels
Information Sciences: an International Journal
Receiver only optimized semi-hard decision VQ for noisy channels
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Power series quantization for noisy channels
IEEE Transactions on Communications
| Hi-index | 754.84 |
We show that the channel distortion for maximum-entropy encoders, due to noise on a binary-symmetric channel, is minimized if the vector quantizer can be expressed as a linear transform of a hypercube. The index assignment problem is regarded as a problem of linearizing the vector quantizer. We define classes of index assignments with related properties, within which the best index assignment is found by sorting, not searching. Two powerful algorithms for assigning indices to the codevectors of nonredundant coding systems are presented. One algorithm finds the optimal solution in terms of linearity, whereas the other finds a very good, but suboptimal, solution in a very short time