Cargando…
Non-stationary component extraction in noisy multicomponent signal using polynomial chirping Fourier transform
Inspired by track-before-detection technology in radar, a novel time–frequency transform, namely polynomial chirping Fourier transform (PCFT), is exploited to extract components from noisy multicomponent signal. The PCFT combines advantages of Fourier transform and polynomial chirplet transform to a...
Autores principales: | Lu, Wenlong, Xie, Junwei, Wang, Heming, Sheng, Chuan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4960086/ https://www.ncbi.nlm.nih.gov/pubmed/27512636 http://dx.doi.org/10.1186/s40064-016-2849-2 |
Ejemplares similares
-
The minimality of mean square error in chirp approximation using fractional fourier series and fractional fourier transform
por: Bafakeeh, Omar T., et al.
Publicado: (2022) -
Fourier series and orthogonal polynomials /
por: Jackson, Dunham, 1888-1946
Publicado: (1941) -
Fourier series in orthogonal polynomials
por: Osilenker, Boris
Publicado: (1999) -
Polynomial Phase Estimation Based on Adaptive Short-Time Fourier Transform
por: Jing, Fulong, et al.
Publicado: (2018) -
Joint Estimation of Time-Frequency Signature and DOA Based on STFD for Multicomponent Chirp Signals
por: Zhao, Ziyue, et al.
Publicado: (2014)