针对伯恩斯坦多项式中参数的不确定性，提出了一种基于遗传算法的具有EBFB特征的小波滤波器优化设计方法。
Due to the uncertainty of parameters of the Bernstein polynomial, a design method for optimizing wavelet filter while maintaining the property of EBFB based on genetic algorithms is presented.
作为不可分小波理论的一个重要方面，不可分小波滤波器的设计已经成为人们研究的热点。
As an important part of the theory for non-separable wavelets, the design of non-separable wavelets filter Banks has already became the hotspot of research on wavelet theory.
针对地震反演预处理的地震降噪问题，本文结合小波分析设计了一种过零点滤波器，对多分量地震资料进行了面波剔除研究。
In the denoising and preprocessing for seismic inversion, a zero-crossing filter is developed based on wavelet analysis to remove surface waves from the multi-component seismic data.
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