Fast Algorithm for Adaptive Gaussian Chirplet Signal Decomposition

Jian Feng Guo; Wei Dong Wang; Jin Zhao Liu

doi:10.4028/www.scientific.net/AMM.556-562.4755

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562Fast Algorithm for Adaptive Gaussian Chirplet...

Fast Algorithm for Adaptive Gaussian Chirplet Signal Decomposition

Abstract:

It is well known that adaptive Gaussian chirplet signal decomposition algorithm has the best time frequency resolution in all signal decomposition algorithms. It is widely used in non linear and non stationary signal decomposition, especially for the signal which is superposition of chirplet functions decomposition. But it has a large amount of computation. In this paper, we propose a fast algorithm based on short time Fourier transform (STFT) method and we change parameters’ domain. Using this fast algorithm to decompose a four atoms non-linear signal computes very fast and it can also avoid the cross term’s interferer of the Wigner-Ville distribution.

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Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

4755-4758

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.4755

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Online since:

May 2014

Authors:

Jian Feng Guo*, Wei Dong Wang, Jin Zhao Liu

Keywords:

Adaptive Signal Decomposition, Frequency Analysis, Gaussian Chirplet Basis, Short Time Fourier Transform, Time, Wigner-Ville Distribution (WVD)

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* - Corresponding Author

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