Channel-matched hierarchical table-lookup vector quantization

In this correspondence, we propose a channel-matched hierarchical table-loo kup vector quantizer for a discrete memoryless channel. We show that this s cheme simultaneously pro,ides low encoding complexity and robustness agains t transmission noise. Additionally, we propose the use of lookup tables for transcoding in heterogeneous networks. We show, through an example motivat ed by an application in multicasting, that the proposed table-lookup transc oding approach is an elegant alternative to the expensive and delay-introdu cing method of transcoding achieved by decoding and re-encoding.