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Hanning Self-Convolution Windows and Its Application to Harmonic Analysis |
Wen He, Teng Zhaosheng, Qing Baiyuan |
Hunan University Changsha 410082 China |
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Abstract Suitable windows and interpolation FFT algorithms have been used to eliminate the errors caused by spectral leakage and picket fence effect. New kinds of windows, called as Hanning self-convolution windows(HSCW), are presented. The p-order HSCW is produced by convolving p Hanning windows. The major lobe and side lobes characteristics of p-order HSCW are discussed and an interpolated FFT algorithm based on HSCW is given. As the new windows have the optimal side lobe levels and the side lobes decay at a very fast rate, the windowed interpolation FFT algorithm can greatly increase the accuracy of harmonic analysis. The simulation results show the effectiveness and practicability of the algorithm.
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Received: 14 September 2007
Published: 11 February 2014
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