Time-frequency signal analysis based on the windowed fractional Fourier transform
Signal Processing - Special issue: Fractional signal processing and applications
Estimation of FM signal parameters in impulse noise environments
Signal Processing
Experimental analysis of pattern similarity between Bessel kernel and born-Jordan kernel
ACACOS'08 Proceedings of the 7th WSEAS International Conference on Applied Computer and Applied Computational Science
Time--frequency feature representation using energy concentration: An overview of recent advances
Digital Signal Processing
A signal-dependent quadratic time frequency distribution for neural source estimation
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
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The authors present a kernel design technique based on using the Radon transform of the modulus of the ambiguity function of the signal for determination of angles and distances of radially distributed contents of the autoterms in the ambiguity domain. The proposed kernel effectively reduces the cross-terms and noise for linear FM signals. The result is a tool for high-resolution time-frequency representation of nonstationary, primarily linear FM signals