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Energies 2018, 11(7), 1841; https://doi.org/10.3390/en11071841

Non-Distorted Optimization Spectrum Analysis

1
Department of Electrical Engineering, I-Shou University, Kaohsiung 840, Taiwan
2
Center of Teaching and Research, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan
*
Author to whom correspondence should be addressed.
Received: 8 June 2018 / Revised: 9 July 2018 / Accepted: 10 July 2018 / Published: 13 July 2018
(This article belongs to the Special Issue Selected Papers from the IEEE ICASI 2018)
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Abstract

The discrete Fourier transform is extensively applied in spectrum analysis. However, the sampled signal is random, and the discrete Fourier transform has its own specific limitations. Thus, errors will inevitably occur in time–frequency transformation work. The most common are the leakage effects of the spectrum that are caused from the scale of the spectrum not being able to match the characteristics of the signal. The optimal spectrum is proposed to overcome this defect by adjusting the frequency scale to fit signal characteristics. This includes three stages whereby frequency scale can match signal characteristics. Firstly, the signal parameters must be found. Secondly, the frequency scale can be determined from these signal parameters. Finally, the optimal spectrum can be realized using the adjustable spectrum with the new frequency scale. After processing the optimal spectrum, the leakage effects of the signal will be decreased to a minimum. This method preserves signal characteristics in the optimization process, which reaches the ideal of non-distortion. View Full-Text
Keywords: discrete Fourier transform; leakage effect; optimization discrete Fourier transform; leakage effect; optimization
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Wu, R.-C.; Huang, L.-J. Non-Distorted Optimization Spectrum Analysis. Energies 2018, 11, 1841.

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