Reconstruction of Multi-component Signals Based on Quasi Fourier Transform
A novel method of Quasi Fourier Transform for reconstruction of multi-component signals is presented, which the characteristics and properties of this method are investigated. By transforming the various aliasing signals in frequency domain into a quasi frequency domain, the multi-component signals can be easily separated. Some contrasts of Quasi Fourier Transform compared with fractional Fourier domain filtering can avoid some problems of aliasing distortion in time domain and frequency domain. The results by citing specific examples show that Quasi Fourier Transform will be an efficient tool to extract effectively useful signals from buried in the noise.
Gang Bi Yu Zeng
School of Information & Electrical Engineering City College,Zhejiang University,Hangzhou 310015,China
国际会议
Progress in Electromagnetics Research Symposium 2009(2009年电磁学研究新进展学术研讨会)(PIERS 2009)
北京
英文
709-714
2009-03-23（万方平台首次上网日期，不代表论文的发表时间）