Audio Compression using the MLT and SPIHT

Mohammed Raad; A. Mertins; Ian Burnett

Audio Compression using the MLT and SPIHT

Mohammed Raad, A. Mertins, Ian Burnett

Institute of Signal Processing

University of Wollongong

Abstract

This paper discusses the application of the Set Par- titioning In Hierarchical Trees (SPIHT) algorithm to the compression of audio signals. Simultaneous masking is used to reduce the number of coefficients required for the representation of the audio signal. The proposed scheme is based on the combina- tion of the Modulated Lapped Transform (MLT) and SPIHT. Comparisons are also made with the Discrete Wavelet Transform (DWT) based scheme. Results presented reveal the compression achieved as well as the scalability of the proposed coding scheme. The MLT based scheme is shown to have compres- sion performance that is superior to the DWT based scheme.

Original language	English
Pages	128-132
Number of pages	5
Publication status	Published - 01.01.2002

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title = "Audio Compression using the MLT and SPIHT",

abstract = "This paper discusses the application of the Set Par- titioning In Hierarchical Trees (SPIHT) algorithm to the compression of audio signals. Simultaneous masking is used to reduce the number of coefficients required for the representation of the audio signal. The proposed scheme is based on the combina- tion of the Modulated Lapped Transform (MLT) and SPIHT. Comparisons are also made with the Discrete Wavelet Transform (DWT) based scheme. Results presented reveal the compression achieved as well as the scalability of the proposed coding scheme. The MLT based scheme is shown to have compres- sion performance that is superior to the DWT based scheme.",

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AU - Mertins, A.

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N2 - This paper discusses the application of the Set Par- titioning In Hierarchical Trees (SPIHT) algorithm to the compression of audio signals. Simultaneous masking is used to reduce the number of coefficients required for the representation of the audio signal. The proposed scheme is based on the combina- tion of the Modulated Lapped Transform (MLT) and SPIHT. Comparisons are also made with the Discrete Wavelet Transform (DWT) based scheme. Results presented reveal the compression achieved as well as the scalability of the proposed coding scheme. The MLT based scheme is shown to have compres- sion performance that is superior to the DWT based scheme.

AB - This paper discusses the application of the Set Par- titioning In Hierarchical Trees (SPIHT) algorithm to the compression of audio signals. Simultaneous masking is used to reduce the number of coefficients required for the representation of the audio signal. The proposed scheme is based on the combina- tion of the Modulated Lapped Transform (MLT) and SPIHT. Comparisons are also made with the Discrete Wavelet Transform (DWT) based scheme. Results presented reveal the compression achieved as well as the scalability of the proposed coding scheme. The MLT based scheme is shown to have compres- sion performance that is superior to the DWT based scheme.

UR - https://www.researchgate.net/publication/245549998_Audio_compression_using_the_MLT_and_SPIHT

UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.324.2646

M3 - Conference Papers

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ER -

Audio Compression using the MLT and SPIHT

Abstract

UN SDGs

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