Optimization of CVQ codebook index for noisy channels 


Vol. 28,  No. 3, pp. 315-326, Mar.  2003


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  Abstract

In this paper, an improved index assignment procedure is proposed to reduce the channel error effect in a communication system employing classified vector quantization(CVQ). The proposed algorithm consists of two parts: inner index assignment (IIA) and cross index assignment (CIA). The IIA reduces the distortion resulting from the error in order bits, presenting the identity of each code vector in a subcodebook. The CIA modifies the indexes assigned by the IIA in such a way that the effect of the channel error occurring in class bits, indicating the class information of the code vector, can be minimized.
Simulation results show that the proposed algorithms enable a reliable communication over noisy channels even without employing the channel encoding.

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  Cite this article

[IEEE Style]

J. Han and J. Kim, "Optimization of CVQ codebook index for noisy channels," The Journal of Korean Institute of Communications and Information Sciences, vol. 28, no. 3, pp. 315-326, 2003. DOI: .

[ACM Style]

Jong-Ki Han and Jin-Ook Kim. 2003. Optimization of CVQ codebook index for noisy channels. The Journal of Korean Institute of Communications and Information Sciences, 28, 3, (2003), 315-326. DOI: .

[KICS Style]

Jong-Ki Han and Jin-Ook Kim, "Optimization of CVQ codebook index for noisy channels," The Journal of Korean Institute of Communications and Information Sciences, vol. 28, no. 3, pp. 315-326, 3. 2003.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880