Optimized sparse fractional Fourier transform: Principle and performance analysis

•Neyman-Pearson detection is applied to estimate large coefficients of noise-corrupted signals in the fractional Fourier domain.•Distribution of phase error is obtained via Parzen-Rosenblatt window method.•Location error correction method is proposed.•Important properties of the proposed optimized s...

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Veröffentlicht in:	Signal processing Jg. 174; S. 107646
Hauptverfasser:	Zhang, Hongchi, Shan, Tao, Liu, Shengheng, Tao, Ran
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.09.2020
Schlagworte:	Computational complexity Fractional Fourier transform Numerical algorithm Sparse representation Time-frequency analysis Time-frequency analysis Sparse representation Computational complexity Fractional Fourier transform Numerical algorithm
ISSN:	0165-1684, 1872-7557
Online-Zugang:	Volltext
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