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.
肺音分析采用了时域分析、功率谱分析、时变谱分析、同态处理等多种分析算法。
The lung sounds data analysis USES time domain analysis, frequency domain analysis, power spectra analysis, time-varying spectra analysis and so on.
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.
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