AEW FORM OF GABOR WIGER TRASFORM BY ADAPTIVE THRESHOLDIG IGABOR TRASFORM AD WIGER DISTRIBUTIO AD THE POWER OF SIGAL SYTHESIS TECHIQUES TO EHACE THE STREGTHS OF GWT

In this paper, a modified form of the Gabor Wigner Transform (GWT) has been proposed. It is based on adaptive thresholding in the Gabor Transform (GT) and Wigner D istribution (WD). The modified GWT combines the advantages of both GT and WD and proves itself as a powerful tool for analyzing multi- component signals. Performance analyses of the proposed distribution are tested on the examples, show high resolution and crossterms suppression. To exploit the strengths of GWT, the signal synthesis technique is u sed to extract amplitude varying auto-components of a multi- component signal. The proposed technique improves the readability of GWT and proves advantages of combined effects of these signal processing techniques.

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