An improvement to tree-structured vector quantization

Chao Ping Chu*, Shaw-Hwa Hwang, Shun Chieh Chang, Cheng Yu Yeh

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This study proposes an improvement to tree-structured vector quantization (TSVQ). The selected codeword of TSVQ is employed as the reference codeword. The dynamic triangular inequality elimination (DTIE) is employed to improve the performance of TSVQ. In the DTIE-TSVQ approach, the selected codeword and SNR are identical to that of full-search vector quantization (FSVQ), and the computational saving is better than that of TIE-VQ. The experimental results confirm that DTIE-TSVQ outperforms TIE-VQ, TSVQ.

Original languageEnglish
Title of host publicationInnovation for Applied Science and Technology
Pages2926-2929
Number of pages4
DOIs
StatePublished - 20 Feb 2013
Event2nd International Conference on Engineering and Technology Innovation 2012, ICETI 2012 - Kaohsiung, Taiwan
Duration: 2 Nov 20126 Nov 2012

Publication series

NameApplied Mechanics and Materials
Volume284-287
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2nd International Conference on Engineering and Technology Innovation 2012, ICETI 2012
CountryTaiwan
CityKaohsiung
Period2/11/126/11/12

Keywords

  • DTIE
  • G.729
  • TSVQ
  • Vector quantization

Fingerprint Dive into the research topics of 'An improvement to tree-structured vector quantization'. Together they form a unique fingerprint.

Cite this