Power Series Quantization for Noisy Channels
Artikel i vetenskaplig tidskrift, 2010

A recently proposed method for transmission of correlated sources under noise-free conditions, power series quantization (PSQ), uses a separate linear or nonlinear predictor for each quantizer region, and has shown to increase performance compared to several common quantization schemes for sources with memory. In this paper, it is shown how to apply PSQ for transmission of a source with memory over a noisy channel. A channel-optimized PSQ (COPSQ) encoder and codebook optimization algorithms are derived. The suggested scheme is shown to increase performance compared with previous state-of-the-art methods.

noisy channels

Channel-optimized quantization

memory-based quantization

spectrum coding

Författare

Daniel Persson

Linköpings universitet

Thomas Eriksson

Chalmers, Signaler och system, Kommunikationssystem, informationsteori och antenner, Kommunikationssystem

IEEE Transactions on Communications

0090-6778 (ISSN)

Vol. 58 5 1405-1414

Ämneskategorier

Data- och informationsvetenskap

DOI

10.1109/TCOMM.2010.05.080688

Mer information

Senast uppdaterat

2018-02-28