Warped ARMA filters in high quality audio coding

Mohamed Deriche, Daryl Ning

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

Abstract

In this paper, a novel audio coder using the discrete wavelet transform (DWT) and a warped linear prediction (WLP) model, is proposed. In contrast to conventional LP, WLP allows for the control of frequency resolution to closely match the response of the human auditory system. The residual from the inverse WLP filtering is analyzed by a wavelet filterbank designed to approximate the critical bands. For monophonic signals sampled at 44.1 kHz, the coder achieves near transparent quality at an average bit-rate of 64 kb/s.

Original languageEnglish
Title of host publicationProceedings - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003
PublisherIEEE Computer Society
Pages153-156
Number of pages4
ISBN (Print)0780379462, 9780780379466
DOIs
StatePublished - 2003

Publication series

NameProceedings - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003
Volume2

ASJC Scopus subject areas

  • Signal Processing

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