19 July 2013 FFT optimization algorithm and realization of MATLAB
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Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 88784B (2013) https://doi.org/10.1117/12.2030711
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China
Abstract
In order to realize the FFT algorithm more flexibly and effectively, this paper analyzed four kinds of amplitude spectrum or power spectrum correction methods, that is, ratio correction method, energy centrobaric correction method, phase difference method and FFT + FT spectrum analysis method. On this basis, a double-window function spectrum estimation algorithm was introduced, which was a kind of conjoint analysis algorithm with rectangular window function and improved window function. The algorithm could improve the amplitude estimation accuracy in the case of not reducing the frequency resolution. The effectiveness of this algorithm was proved by using MATLAB software. The simulation results show that the double-window function spectrum estimation algorithm significantly decreases the amplitude estimation error brought by the picket fence effect, and realizes the optimization of FFT algorithm.
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Chang Cui, Qiang Zhao, "FFT optimization algorithm and realization of MATLAB", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88784B (19 July 2013); doi: 10.1117/12.2030711; https://doi.org/10.1117/12.2030711
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