首页> 外文会议>International Progress on Wavelet Analysis and Active Media Technology(IPWAAMT) vol.1; ; >ELIMINATION OF CROSS TERMS OF THE DISCRETE WIGNER DISTRIBUTION USING MULTIWAVELETS
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ELIMINATION OF CROSS TERMS OF THE DISCRETE WIGNER DISTRIBUTION USING MULTIWAVELETS

机译:利用多小波消除离散维格纳分布的交叉项

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摘要

Wigner-Ville distribution has good time-frequency characteristics. Its cross terms are oscillatory at high frequency. To suppress the cross terms, multiwavelets analysis is adopted to decompose and reconstruct signals' Wigner-Ville distribution. Compared with the other time-frequency representation methods, simulation results demonstrate that multiwavelets analysis is very effective to eliminate the cross terms while keep good resolution.
机译:Wigner-Ville分布具有良好的时频特性。它的交叉项在高频下振荡。为了抑制交叉项,采用多小波分析来分解和重​​构信号的维格纳-维尔分布。与其他时频表示方法相比,仿真结果表明,多小波分析在消除交叉项的同时保持良好的分辨率非常有效。

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