Design of distributed channel optimized multiple description vector quantizer

Author

Valipour, Mehrdad ; Lahouti, Farshad

Author_Institution

Sch. of Electr. & Comput. Eng., Tehran Univ., Tehran

fYear

2008

fDate

24-26 June 2008

Firstpage

336

Lastpage

339

Abstract

In this paper, a distributed channel optimized multiple description vector quantization (DCMDVQ) scheme is presented. A minimum mean square error decoder, utilizing side information, is proposed for effective reconstruction of multiple descriptions transmitted over noisy channels with packet loss. The DCMDVQ is designed using a deterministic annealing approach. Simulation results indicate a noticeable gain in comparison to classic MDVQ or channel optimized MDVQ, while being only 2 dB away from the rate-distortion bound for multiple descriptions with side information.

Keywords

least mean squares methods; optimisation; telecommunication channels; vector quantisation; deterministic annealing; distributed channel; minimum mean square error decoder; noisy channels; optimized multiple description vector quantization; Decoding; Design optimization; Laboratories; Mean square error methods; Multimedia communication; Propagation losses; Rate-distortion; Robustness; Simulated annealing; Wireless communication; Channel optimized multiple descriptions; Distributed source coding; Noisy channels with packet loss;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 2008 24th Biennial Symposium on

Conference_Location

Kingston, ON

Print_ISBN

978-1-4244-1945-6

Electronic_ISBN

978-1-4244-1946-3

Type

conf

DOI

10.1109/BSC.2008.4563270

Filename

4563270