【摘 要】
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We propose a method that uses linear chirp modulated Gaussian functions as the elementary functions, by adaptively adjusting variances, time-frequency centers a
【机 构】
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School of Mechanical and Electronic Engineering and Automation, Shanghai University, Shanghai 200072
论文部分内容阅读
We propose a method that uses linear chirp modulated Gaussian functions as the elementary functions, by adaptively adjusting variances, time-frequency centers and sweep rates, to decompose signals. By taking WVD, an improved adaptive time-frequency distribution is developed, which is non-negative, free of cross-term interference, and of better time-frequency resolution. The paper presents an effective numerical algorithm to estimate the optimal parameters of the basis. Simulations indicate that the proposed approach is effective in analyzing signals time-frequency behavior.
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