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

King Fahd University of Petroleum and Minerals
Queensland University of Technology

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
Externally published	Yes
Event	2004 IEEE International Symposium on Cirquits and Systems - Proceedings - Vancouver, BC, Canada Duration: 23 May 2004 → 26 May 2004

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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year = "2004",

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journal = "Proceedings - IEEE International Symposium on Circuits and Systems",

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note = "2004 IEEE International Symposium on Cirquits and Systems - Proceedings ; Conference date: 23-05-2004 Through 26-05-2004",

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AU - Deriche, Mohamed

AU - Ning, Daryl

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N2 - 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.

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.

UR - https://www.scopus.com/pages/publications/4344661937

M3 - Conference article

AN - SCOPUS:4344661937

SN - 0271-4310

VL - 3

SP - III669-III672

JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

T2 - 2004 IEEE International Symposium on Cirquits and Systems - Proceedings

Y2 - 23 May 2004 through 26 May 2004

ER -

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

Abstract

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