Performance Comparison of Windowed Interpolation FFT and Quasisynchronous Sampling Algorithm for Frequency Estimation | Zendy

He Wen | Zendy; Huifang Dai | Zendy; Zhaosheng Teng | Zendy; Yuxiang Yang | Zendy; Fuhai Li | Zendy

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Performance Comparison of Windowed Interpolation FFT and Quasisynchronous Sampling Algorithm for Frequency Estimation

Author(s) -

He Wen,

Huifang Dai,

Zhaosheng Teng,

Yuxiang Yang,

Fuhai Li

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/745830

Subject(s) - fast fourier transform , interpolation (computer graphics) , algorithm , spectral leakage , sampling (signal processing) , computer science , wideband , noise (video) , asynchronous communication , spectral density estimation , mathematics , electronic engineering , artificial intelligence , telecommunications , engineering , filter (signal processing) , fourier transform , computer vision , motion (physics) , mathematical analysis , image (mathematics)

The DFT-based frequency estimations have inherent limitations such as spectral leakage and picket-fence effect due to asynchronous sampling. This paper focuses on comparing the windowed interpolation FFT (WIFFT) and quasisynchronous sampling algorithm (QSSA) for frequency estimation. The WIFFT uses windows to reduce spectral leakage and employs interpolation algorithm to eliminate picket-fence effect. And the QSSA utilizes quasisynchronous weighted iterations for frequency estimation. The accuracy and time complexity of WIFFT and QSSA are theoretically studied. Computer simulations of frequency estimations with noise and fluctuations by using WIFFT and QSSA are performed. Simulations results show that the wideband noise sensitivity of QSSA is lower than that of WIFFT. However, the WIFFT exhibits less time complexity than QSSA

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