Wideband audio compression using wrapped linear prediction and the discrete wavelet transform

Mohamed Deriche; Daryl Ning

Wideband audio compression using wrapped linear prediction and the discrete wavelet transform

Mohamed Deriche^*, Daryl Ning

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

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 language	English
Pages (from-to)	III669-III672
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	3
State	Published - 2004

ASJC Scopus subject areas

Electrical and Electronic Engineering

Cite this

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title = "Wideband audio compression using wrapped linear prediction and the discrete wavelet transform",

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.",

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AU - Ning, Daryl

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AB - 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.

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M3 - Conference article

AN - SCOPUS:4344661937

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JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

ER -

Wideband audio compression using wrapped linear prediction and the discrete wavelet transform

Abstract

ASJC Scopus subject areas

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