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Rate-distortion bound for a class of non-Gaussian sources with memory

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3 Author(s)
Ya-Qin Zhang ; Dept. of Electr. Eng. & Comput. Sci., George Washington Univ., Washington, DC, USA ; R. L. Pickholtz ; M. H. Loew

The rate-distortion performance of a class of non-Gaussian source with memory is studied. The source model is generated from a correlated Gaussian source through a memoryless transform, which actually constitutes a special class of the frequently-used Gibbs model in speech and image processing applications. Its entropy and a rate-distortion bound are evaluated to obtain further insights into this class of source models. Several examples are also given to illustrate the usefulness and tightness of the rate-distortion bound

Published in:

IEEE Transactions on Information Theory  (Volume:39 ,  Issue: 5 )