Aliasing in the Complex Cepstrum of Linear-Phase Signals

Tommy Kristensen Bysted

doi:10.1109/ICICS.1997.652264

Aliasing in the Complex Cepstrum of Linear-Phase Signals

Tommy Kristensen Bysted

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Abstract

Assuming linear-phase of the associated time signal, this paper presents an approximated analytical description of the unavoidable aliasing in practical use of complex cepstrums. The linear-phase assumption covers two major applications of complex cepstrums which are linear- to minimum-phase FIR-filter transformation and minimum-phase estimation from amplitude specifications. The description is made in the cepstrum domain, the Fourier transform of the complex cepstrum and in the frequency domain. Two examples are given, one for verification of the derived equations and one using the description to reduce aliasing in minimum-phase estimation

Original language	English
Title of host publication	Information, Communications and Signal Processing, 1997. ICICS., Proceedings of 1997 International Conference on
Volume	3
Publisher	IEEE
Publication date	1997
Pages	1598-1602
ISBN (Print)	0-7803-3676-3
DOIs	https://doi.org/10.1109/ICICS.1997.652264
Publication status	Published - 1997
Event	First International Conference on Information, Communication & Signal Processing - Singapore Duration: 1 Jan 1997 → …

Conference

Conference	First International Conference on Information, Communication & Signal Processing
City	Singapore
Period	01/01/1997 → …

Bibliographical note

Copyright: 1997 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

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title = "Aliasing in the Complex Cepstrum of Linear-Phase Signals",

abstract = "Assuming linear-phase of the associated time signal, this paper presents an approximated analytical description of the unavoidable aliasing in practical use of complex cepstrums. The linear-phase assumption covers two major applications of complex cepstrums which are linear- to minimum-phase FIR-filter transformation and minimum-phase estimation from amplitude specifications. The description is made in the cepstrum domain, the Fourier transform of the complex cepstrum and in the frequency domain. Two examples are given, one for verification of the derived equations and one using the description to reduce aliasing in minimum-phase estimation",

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N2 - Assuming linear-phase of the associated time signal, this paper presents an approximated analytical description of the unavoidable aliasing in practical use of complex cepstrums. The linear-phase assumption covers two major applications of complex cepstrums which are linear- to minimum-phase FIR-filter transformation and minimum-phase estimation from amplitude specifications. The description is made in the cepstrum domain, the Fourier transform of the complex cepstrum and in the frequency domain. Two examples are given, one for verification of the derived equations and one using the description to reduce aliasing in minimum-phase estimation

AB - Assuming linear-phase of the associated time signal, this paper presents an approximated analytical description of the unavoidable aliasing in practical use of complex cepstrums. The linear-phase assumption covers two major applications of complex cepstrums which are linear- to minimum-phase FIR-filter transformation and minimum-phase estimation from amplitude specifications. The description is made in the cepstrum domain, the Fourier transform of the complex cepstrum and in the frequency domain. Two examples are given, one for verification of the derived equations and one using the description to reduce aliasing in minimum-phase estimation

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DO - 10.1109/ICICS.1997.652264

M3 - Article in proceedings

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BT - Information, Communications and Signal Processing, 1997. ICICS., Proceedings of 1997 International Conference on

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ER -

Aliasing in the Complex Cepstrum of Linear-Phase Signals

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