Abstract
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.
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Acknowledgement
This work is financially supported by the National Natural Science Foundation of China (Grant Nos. 41374185 and 41572347), the Fundamental Research Funds for the Central Universities (Excellent Instructors Fund, Grant No. 2652016139).
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Xing, K., Hao, K., Li, M. (2017). A New Approach to Dense Spectrum Analysis of Infrasonic Signals. In: Zou, B., Li, M., Wang, H., Song, X., Xie, W., Lu, Z. (eds) Data Science. ICPCSEE 2017. Communications in Computer and Information Science, vol 727. Springer, Singapore. https://doi.org/10.1007/978-981-10-6385-5_12
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DOI: https://doi.org/10.1007/978-981-10-6385-5_12
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