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...

Celý popis

Podrobná bibliografia

Vydané v:	Signal processing Ročník 174; s. 107646
Hlavní autori:	Zhang, Hongchi, Shan, Tao, Liu, Shengheng, Tao, Ran
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.09.2020
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!