Storage-and entropy-constrained multi-stage vector quantization

Wen-Jyi Hwang, Yen Liang Chen

Research output: Contribution to conferencePaper

Abstract

A design algorithm for a new multistage vector quantizer, called storage- and entropy-constrained multi-stage vector quantizer (SECMSVQ), is presented in this paper. In SECMSVQ, the rate constraint at each stage of the vector quantizer (VQ), and the storage size of the whole VQ are specified independently before the design. A dynamic programming technique is then used to allocate the storage size to each stage of the VQ optimally so that the quantization distortion of the VQ is minimized. The SECMSVQ, in addition to being able to control the rate and storage size independently, has the property of progressive image transmission (PIT). Simulation results show that SECMSVQ can be used effectively to implement both the signal compression systems and PIT systems.

Original languageEnglish
Pages457-461
Number of pages5
Publication statusPublished - 1995 Dec 1
EventProceedings of the 1995 IEEE Global Telecommunications Conference. Part 2 (of 3) - Singapore, Singapore
Duration: 1995 Nov 141995 Nov 16

Other

OtherProceedings of the 1995 IEEE Global Telecommunications Conference. Part 2 (of 3)
CitySingapore, Singapore
Period95/11/1495/11/16

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Global and Planetary Change

Cite this

Hwang, W-J., & Chen, Y. L. (1995). Storage-and entropy-constrained multi-stage vector quantization. 457-461. Paper presented at Proceedings of the 1995 IEEE Global Telecommunications Conference. Part 2 (of 3), Singapore, Singapore, .