Channel-matched hierarchical table-lookup vector quantization

Hamid Jafarkhani, Nariman Farvardin

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

In this correspondence, we propose a channel-matched hierarchical table-lookup vector quantizer for a discrete memoryless channel. We show that this scheme simultaneously provides low encoding complexity and robustness against transmission noise. Additionally, we propose the use of lookup tables for transcoding in heterogeneous networks. We show, through an example motivated by an application in multicasting, that the proposed table-lookup transcoding approach is an elegant alternative to the expensive and delay-introducing method of transcoding achieved by decoding and re-encoding.

Original languageEnglish
Pages (from-to)1121-1125
Number of pages5
JournalIEEE Transactions on Information Theory
Volume46
Issue number3
DOIs
StatePublished - May 2000

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