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In this paper, the time-frequency distribution of multicomponent linear-frequency modulation (LFM) signals, which is a function of two variables, has been treated as an "image". The gray-scale inverse Hough transform (GIHT), an image processing method, is applied for analyzing the "image". The time-frequency distribution (TFD) is computed from an optimally weighted average of multiple Hermite windowed spectrograms, which provides a better "image source" than the commonly used Wigner distribution and spectrogram for the later image analysis. By taking advantage of GIHT more information in the time-frequency can be utilized and more accurate results have been achieved. Several examples are provided to demonstrate and quantify the effectiveness and robustness of this method.
Statistical Signal Processing, 2003 IEEE Workshop on
Date of Conference: 28 Sept.-1 Oct. 2003