The Selection of the Optimal Gabor Wavelet Shape Factor Using the Shannon Entropy Concept

Shannon 엔트로피 개념을 이용한 가보 웨이블렛 최적 형상의 선정

The continuous Gabor wavelet transform (GWT) has been utilized as a useful time-frequency analysis tool to identify the rapidly-varying characteristics of some wave signals. In the application of GWT, it is important to select the Gabor wavelet with the optimal shape factor by which the time-frequency distribution of a signal can be accurately estimated. To find the signal-dependent optimal Gator wavelet shape factor, the notion of the Shannon entropy which measures the extent of signal energy concentration in the time-frequency plane is employed. (omitted)