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A New Approach to Dense Spectrum Analysis of Infrasonic Signals
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作者 Kaiyan Xing kaixue hao Mei Li 《国际计算机前沿大会会议论文集》 2017年第1期33-35,共3页
Spectrum analysis is very important in geological hazards of infrasonic signal observation systems.The spectrum of infrasonic signal is a dense spectrum which can leads to potential erroneous spectrum analysis.Hereby ... Spectrum analysis is very important in geological hazards of infrasonic signal observation systems.The spectrum of infrasonic signal is a dense spectrum which can leads to potential erroneous spectrum analysis.Hereby we propose a dense spectrum analysis algorithm combining all phase Fast Fourier Transform(apFFT)and Chirp Z-transform(CZT)to analyse dense low frequency signal.This is called all phase Chirp Z transform(apCZT).The apFFT spectrum analysis can reduce spectrum leakage,but does not enhance resolution while the CZT vice versa.The novel algorithm apCZT can suppress spectral leakage and improve the resolution at the same time.Simulation results demonstrate that the apCZT algorithm can distinguish the frequencies whose intervals are less than the ordinary frequency resolving power of Discrete Fourier Transform(DFT)and apFFT.The apCZT it is not only suitable for infrasonic signals but also in other dense spectrum analysis applications,such as voice,vibration,noise,electrocardiography,radar signals,power system harmonics and other engineering practice. 展开更多
关键词 Infrasonic SIGNAL apFFT CZT apCZT SPRINGER
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