A Wyner Ziv Codec for Correlated Vector Sources
Vosoughi, A.; Scaglione, A.
Signal Processing Advances in Wireless Communications, 2006. SPAWC apos;06. IEEE 7th Workshop on
Volume , Issue , 2-5 July 2006 Page(s):1 - 5
Digital Object Identifier 10.1109/SPAWC.2006.346430
Summary:In this paper we consider lossy coding of vector source x isin R N which is correlated with vector source y isin RN , known at the decoder. The general non-linear mapping between y and x capturing the correlation between the two sources can be approximated through a linear model y = Hx + n in which n is independent of x. We propose a compression scheme, namely, distributed adaptive compression (DAC). The DAC algorithm is inspired by the optimal solution for Gaussian sources and requires computation of the conditional Karhunen-Loeve transform (CKLT) of the data at the encoder. Viewing the dependency model as a fictitious communication channel we utilize linear minimum mean square error (LMMSE) equalizer at the decoder, to convert the original vector source coding problem into a set of manageable scalar source coding problems. Furthermore, inspired by bit loading strategies employed in wireless communication systems, we propose a rate allocation policy which minimizes the decoding error rate under a total rate constraint
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