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IEEE Signal Processing Letters
Article . 1999 . Peer-reviewed
License: IEEE Copyright
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https://doi.org/10.1109/iscas....
Article . 2002 . Peer-reviewed
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Adaptive harmonic fractional Fourier transform

descriptionPublicationkeyboard_double_arrow_right Article 01 Nov 1999Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Signal Processing Letters, volume 6, pages 281-283 (issn: 1070-9908, eissn: 1558-2361, Copyright policy )
Authors: null Fang Zhang; null Yan Qiu Chen; null Guoan Bi;

doi: 10.1109/97.796288 , 10.1109/iscas.2000.857359

Adaptive harmonic fractional Fourier transform

Abstract

A novel adaptive harmonic fractional Fourier transform is proposed for analysis of voiced speech signals. It provides a higher concentration than STFT and avoids the cross interference components produced by the Wigner-Ville distribution and other bilinear representation. The proposed method rotates the base tone and harmonics in time-frequency domain. After the rotation, base tone and harmonics become parallel to the time axis in time-frequency domain so that a high concentration can be achieved.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Top 10%
Top 10%
Average
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