作为一种日益获得广泛应用的信号处理新技术，小波分析具有良好的时频局域化特性，适应于时变和瞬变信号的分析。
As a new technique of signal processing, wavelet analysis has excellent characteristics of time frequency localization and is suitable for analyzing time varying or transient signals.
小波分析是一种日益获得广泛应用的信号处理新技术，它具有良好的时-频局部化特性，因而非常适于分析瞬态或时变信号。
Wavelet analysis, as a new technique of signal processing, possesses excellent characteristic of time-frequency localization and is suitable for analysing the time-varying or transient signals.
通过对传统盲源分离批处理EASI算法的分析，针对时变信道中通信信号的复数形式，以平滑窗的形式实现了批处理算法在时变混合模型下的应用。
Based on an analysis of EASI batch process algorithms for traditional blind source separation, a sliding window ICA algorithm is studied to deal with complex signals in the time variant mixing model.
应用推荐