The characteristic frequency band of the fault can be identified by wavelet packet decomposition and its energy spectrum conveniently, and the quantification analysis are then performed.
应用小波包分解及其能量谱直观地识别出故障的特征频带，并进行了量化分析。
The characteristic frequency band of the fault could be identified by wavelet packet decomposition and its energy spectrum conveniently, at the same time, quantification analysis were performed.
应用小波包分解及其能量谱直观地识别出故障的特征频带，并进行了量化分析。
An adaptive method applying eigenvalue decomposition-based spectrum analysis technique to narrow-band digital communication interference suppression in radar is proposed and studied.
基于特征分解谱分析技术，提出并研究了在雷达中自适应抑制窄带数字通信信号干扰的方法。
Propose wavelet packet decomposition frequency-band monitoring method, diagnose typical failures of rolling bearing, and extract eigenvector to prepare follow-up Neural network identification.
提出了基于小波包分解频带能量监测法，对滚动轴承的几种典型故障进行了诊断，并且提取特征向量，为后续的神经网络识别作准备。
The M-band wavelet decomposition, a direct generalization of the standard 2-band wavelet decomposition has been applied to the problems of processing signals and compressing images.
多进制小波是直接对标准二进制小波的综合，广泛应用于信号处理和影像压缩处理等领域。
The M-band wavelet decomposition, a direct generalization of the standard 2-band wavelet decomposition has been applied to the problems of processing signals and compressing images.
多进制小波是直接对标准二进制小波的综合，广泛应用于信号处理和影像压缩处理等领域。
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