The Quadratic TFR Based on Wavelet and the Wavelet Spectral Correlation Function
The wide sense time-frequency representation based on wavelet was recently proposed, which included the wavelet spectral correlation function (WSCF), wavelet ambiguity function (WAF) and scalograms. The WSC theory was expected to perform effectively in the signal processing involving 1/f noise. Yet despite their apparent importance, the lack of theoretic analysis has, at least until recently, strongly limited their popularity. In this paper, we review TF representation based on wavelet, and compare their substantial characteristic with Cohens class, such as real value, time-shift and frequency-shift invariability, timefrequency fringe quality, Time retractility and bilinear-added principle. Specifically, via several wavelet mother functions, we develop the WSCF of mono-frequency, dual-frequency signal and analyzed their characteristics. Researches show that compared with Cohens class the scalograms is rough for energy distribution in the TF domain, but in spectral correlation domain, WSCF is an effective technique in the signal processing.
Xiong Gang Yang Xiao-niu Lin Jun
NO.36 Research Institute of CETC, Jiaxing Nanjing University of S&T, 210094 NO.36 Research Institute of CETC,Jiaxin, China, 314001 Comm. Academy, PLA Uni. of S&T, Nanjing, China, 210094
国际会议
2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)
广西桂林
英文
243-247
2006-06-25（万方平台首次上网日期，不代表论文的发表时间）