Entropy-constrained residual vector quantization

F Kossentini,M.J.T Smith,C.F Barnes

doi:10.1109/icassp.1993.319882

Entropy-constrained residual vector quantization

F Kossentini, M.J.T Smith + Show 1 more

https://doi.org/10.1109/icassp.1993.319882

Copy DOI

Publication Date: Jan 1, 1993

Citations: 37

Affiliation: Georgia Institute of Technology

#Residual Vector Quantizer #Entropy-constrained Residual Vector Quantization + Show 8 more

Abstract
Full-Text
Similar Papers

Abstract

The authors introduce a novel variable-rate residual vector quantizer (RVQ) where the source entropy is exploited. Necessary conditions for the optimality of this RVQ are presented as well as a novel entropy-constrained RVQ (EC-RVQ) design algorithm EC-RVQ is shown simultaneously to outperform entropy-constrained VQ (EC-VQ) in terms of performance, memory, and computation. The low cost of EC-RVQ permits the use of high-rate codebooks and/or codebooks with relatively large vector sizes (such as 8*8). >

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Similar Papers

Paper Title

Journal

Date

Author

View more papers

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.