Title
Fixed-Rate Zero-Delay Source Coding for Stationary Vector-Valued Gauss-Markov Sources
Abstract
We consider a fixed-rate zero-delay source coding problem where a stationary vector-valued Gauss-Markov source is compressed subject to an average mean-squared error (MSE) distortion constraint. We address the problem by considering the Gaussian nonanticipative rate distortion function (NRDF) which is a lower bound to the zero-delay Gaussian RDF. Then, we use its corresponding optimal “test-channel” to characterize the stationary Gaussian NRDF and evaluate the corresponding information rates. We show that the Gaussian NRDF can be achieved by p-parallel fixed-rate scalar uniform quantizers of finite support with dithering signal up to a multiplicative distortion factor and a constant rate penalty. We demonstrate our framework with a numerical example.
Year
DOI
Venue
2018
10.1109/DCC.2018.00034
2018 Data Compression Conference
Keywords
Field
DocType
Fixed rate coding,vector sources,zero delay coding,Gauss Markov
Applied mathematics,Multiplicative function,Upper and lower bounds,Computer science,Scalar (physics),Markov chain,Theoretical computer science,Gaussian,Decoding methods,Dither,Distortion
Conference
ISSN
ISBN
Citations 
1068-0314
978-1-5386-4884-1
0
PageRank 
References 
Authors
0.34
4
2
Name
Order
Citations
PageRank
Photios Stavrou14913.47
Jan Østergaard220128.38