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Jointly optimized trellis-coded residual vector quantization

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3 Author(s)
Khan, M.A.U. ; Center for Signal & Image Processing, Georgia Inst. of Technol., Atlanta, GA, USA ; Smith, M.J.T. ; McLaughlin, S.W.

The union of residual vector quantization (RVQ) and trellis-coded vector quantization (TCVQ) was considered by various authors where the emphasis was on the sequential design. We consider a new jointly optimized combination of RVQ and TCVQ with advantages in all categories. Necessary conditions for optimality of the jointly optimized trellis-coded residual vector quantizers (TCRVQ) are derived. A constrained direct sum tree structure is introduced that facilitates RVQ codebook partitioning. Simulation results for jointly optimized TCRVQ are presented for memoryless Gaussian, Laplacian, and uniform sources. The rate-distortion performance is shown to be better than RVQ and sequentially designed TCRVQ

Published in:

Communications, IEEE Transactions on  (Volume:49 ,  Issue: 6 )

Date of Publication:

Jun 2001

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