从完全重构滤波器组出发，分析了小波与滤波器组之间的关系，讨论了复数离散正交小波的构造。
Starting from perfect reconstruction filter Banks, the relationship between the wavelet and the filter Banks is analyzed, and the construction of complex discrete orthonormal wavelet is discussed.
这种方法通过滤波器组将信号分解与重构，实现趋向性信号与零均值平稳随机信号的分离。
Based on decomposition and reconstruction of the signals by filter sets, the trend-signal is separated from stationary stochastic signals.
传统的研究方法是在满足滤波器组完全重构的情况下通过寻优的方法得到滤波器的冲击响应，所得到的滤波器性能较差。
The traditional method is that the impulse response of filter can be gotten by optimization under the perfect reconstruction condition. The performance of filters is not very good.
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