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Optimal multiple description transform coding of Gaussian vectors (1998)
| Content Provider | CiteSeerX |
|---|---|
| Author | Goyal, Vivek K. |
| Abstract | Multiple description coding MDC is source coding for multiple channels such that a decoder which receives an arbitrary subset of the channels may pro duce a useful reconstruction Orchard et al proposed a transform coding method for MDC of pairs of independent Gaussian random variables This pa per provides a general framework which extends multiple description transform coding MDTC to any number of variables and expands the set of transforms which are considered Analysis of the general case is provided which can be used to numerically design optimal MDTC systems The case of two variables sent over two channels is analytically optimized in the most general setting where channel failures need not have equal probability or be independent It is shown that when channel failures are equally probable and independent the transforms used in are in the optimal set but many other choices are pos sible A cascade structure is presented which facilitates lowcomplexity design coding and decoding for a system with a large number of variables |
| File Format | |
| Journal | Proc. IEEE Data Compression Conf., Snowbird, UT |
| Publisher Date | 1998-01-01 |
| Access Restriction | Open |
| Subject Keyword | Independent Gaussian Random Variable Lowcomplexity Design Coding Useful Reconstruction Orchard Gaussian Vector Arbitrary Subset Optimal Multiple Description Transform Coding Channel Failure Multiple Description Optimal Mdtc System Multiple Description Transform Equal Probability Po Sible Cascade Structure Many Choice |
| Content Type | Text |
