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Hanning self-convolution window and its application to harmonic analysis 被引量:15
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作者 WEN He TENG ZhaoSheng +4 位作者 GUO SiYu WANG JingXun YANG BuMing WANG Yi CHEN Tao 《Science China(Technological Sciences)》 SCIE EI CAS 2009年第2期467-476,共10页
The Hanning self-convolution window (HSCW) is proposed in this paper. And the phase difference correction algorithm based on the discrete spectrum and the HSCW is given. The HSCW has a low peak side lobe level, a high... The Hanning self-convolution window (HSCW) is proposed in this paper. And the phase difference correction algorithm based on the discrete spectrum and the HSCW is given. The HSCW has a low peak side lobe level, a high side lobe roll-off rate, and a simple spectrum representation. Hence, leakage errors and harmonic interferences can be considerably reduced by weighting samples with the HSCW, the parameter estimation by the HSCW-based phase difference correction algorithm is free of solving high order equations, and the overall method can be easily implemented in embedded systems. Simulation and application results show that the HSCW-based phase difference correction algorithm can suppress the impacts of fundamental frequency fluctuation and white noise on harmonic parameter estimation, and the HSCW is advantageous over existing combined cosine windows in terms of harmonic analysis performance. 展开更多
关键词 hanning self-convolution WINDOW FFT phase DIFFERENCE spectral LEAKAGE frequency FLUCTUATION
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