Change Parameters Domain and Short Time Adaptive Gaussian Chirplet&nbsp; Signal Decomposition Algorithm

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Journal of Vibration and Shock ›› 2015, Vol. 34 ›› Issue (12) : 133-139.

Change Parameters Domain and Short Time Adaptive Gaussian Chirplet Signal Decomposition Algorithm

Guo Jian-feng1,2 Liu Jin-zhao2 Wang Wei-dong2

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Abstract

On parametric time-frequency analysis method based on Gaussian chirplet function has the best time-frequency resolution. It is widely used in non-linear and non-stationary signal decomposition and feature extraction. But it has a large amount of computation. A reformed short time Gaussian chirplet signal decomposition algorithm based on change parameters domain method and short time Fourier transform (STFT) is proposed. It changes four parameters optimize problem to two parameters in a narrow range and improve the efficiency of computation. Using this reformed algorithm decomposes a four atoms non-linear analytic signal and high speed comprehensive inspection train’s axle box vibration acceleration signal, the result shows this algorithm can avoid the cross-term’s interferer and computes very fast. It can be applied to analyze the vibration of the axle box and wheel-rail shortwave shock.

Key words

change parameters domain / short time Fourier transform / Gaussian chirplet function / adaptive decomposition / axle box vibration

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Guo Jian-feng1,2 Liu Jin-zhao2 Wang Wei-dong2. Change Parameters Domain and Short Time Adaptive Gaussian Chirplet Signal Decomposition Algorithm[J]. Journal of Vibration and Shock, 2015, 34(12): 133-139

References

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