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Adaptive Window Width Selection Algorithm for Gabor Transform Based on Entropy |
Du Xiu-li①② Shen Yi② Wang Yan② |
①(School of Information Engineering, Dalian University, Dalian 116622, China) ②(School of Astronautics, Harbin Institute of Technology, Harbin 150001, China) |
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Abstract To resolve the issue of window width selection, an adaptive algorithm for Gabor transform is proposed, which improves the concentration and time-frequency resolution of Gabor representation. The value range of Shannon entropy is mended to make it more adequate for measuring concentration of time-frequency distribution. Moreover, basing on entropy, an optimal window width can be searched adaptively. Simulation results show that the proposed algorithm chooses the optimal window width for mono-component signal or multi-component signal, giving the best Gabor representation with high concentration and time-frequency resolution. Additionally, the algorithm behaves well under low signal noise ratio.
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Received: 09 April 2007
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Corresponding Authors:
Du Xiu-li
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