TY - GEN

T1 - A Wyner Ziv codec for correlated vector sources

AU - Vosoughi, Azadeh

AU - Scaglione, Anna

PY - 2006/12/1

Y1 - 2006/12/1

N2 - In this paper we consider lossy coding of vector source x ∈ ℝN which is correlated with vector source y ∈ 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 Karhiinen-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 ofmanageable 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.

AB - In this paper we consider lossy coding of vector source x ∈ ℝN which is correlated with vector source y ∈ 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 Karhiinen-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 ofmanageable 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.

UR - http://www.scopus.com/inward/record.url?scp=48749130580&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=48749130580&partnerID=8YFLogxK

U2 - 10.1109/SPAWC.2006.346430

DO - 10.1109/SPAWC.2006.346430

M3 - Conference contribution

AN - SCOPUS:48749130580

SN - 078039710X

SN - 9780780397101

T3 - IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

BT - 2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications, SPAWC

T2 - 2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Y2 - 2 July 2006 through 5 July 2006

ER -