Title :
Channel-matched hierarchical table-lookup vector quantization
Author :
Jafarkhani, Hamid ; Farvardin, Nariman
Author_Institution :
AT&T Labs.-Res., Red Bank, NJ, USA
fDate :
5/1/2000 12:00:00 AM
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
Keywords :
computational complexity; memoryless systems; multicast communication; source coding; table lookup; vector quantisation; channel-matched hierarchical table-lookup vector quantization; discrete memoryless channel; heterogeneous networks; lookup tables; low encoding complexity; multicasting; transcoding; transmission noise robustness; Application software; Decoding; Discrete wavelet transforms; Image coding; Noise robustness; Source coding; Speech coding; Table lookup; Transcoding; Vector quantization;
Journal_Title :
Information Theory, IEEE Transactions on