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2008
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Noise-Shaped Predictive Coding for Multiple Descriptions of a Colored Gaussian Source

9 years 3 months ago
Noise-Shaped Predictive Coding for Multiple Descriptions of a Colored Gaussian Source
It was recently shown that the symmetric multiple-description (MD) quadratic rate-distortion function for memoryless Gaussian sources and two descriptions can be achieved by dithered Delta-Sigma quantization combined with memoryless entropy coding. In this paper, we generalize this result to stationary (colored) Gaussian sources by combining noise shaping and source prediction. We first propose a new representation for the test channel that realizes the MD rate-distortion function of a Gaussian source, both in the white and in the colored source case. We then show that this test channel can be materialized by embedding two source prediction loops, one for each description, within a common noise shaping loop. While the noise shaping loop controls the tradeoff between the side and the central distortions, the role of prediction (like in differential pulse code modulation) is to extract the source innovations from the reconstruction at each of the side decoders, and thus reduce the codin...
Jan Østergaard, Ram Zamir, Yuval Kochman
Added 25 Dec 2009
Updated 25 Dec 2009
Type Conference
Year 2008
Where DCC
Authors Jan Østergaard, Ram Zamir, Yuval Kochman
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