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Power Series Quantization for Noisy Channels

D. Persson ; Thomas Eriksson (Institutionen för signaler och system, Kommunikationssystem)
IEEE Transactions on Communications (0090-6778). Vol. 58 (2010), 5, p. 1405-1414.
[Artikel, refereegranskad vetenskaplig]

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.

Nyckelord: Channel-optimized quantization, noisy channels, memory-based quantization, spectrum coding



Denna post skapades 2010-06-11. Senast ändrad 2016-02-01.
CPL Pubid: 122659

 

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Institutioner (Chalmers)

Institutionen för signaler och system, Kommunikationssystem

Ämnesområden

Information Technology

Chalmers infrastruktur