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- And then the relative wavelet packet energy in every subspace for every ASEMG and the wavelet entropy of every ASEMG were calculated. 之后,计算每个子空间的相对小波包能量和每个信号的小波包熵。
- The pressure signals of normal and abnormal combustion were decomposed by wavelet packet and the wavelet packet energy was extracted. 对氢发动机正常燃烧和异常燃烧压力信号进行了小波包分解,提取出小波包能量。
- Two structural damage alarming indices including energy ratio deviation(ERD) and energy ratio variance(ERV) were put forward based on wavelet packet energy spectrum decomposed from the structural dynamic responses. 基于结构动力响应的小波包能量谱提出了两种结构损伤预警指标:能量比偏差和能量比方差。
- Wavelet packet energy characteristic identification of water flooded layer 水淹层小波包能量特征识别方法
- Alarming method for cable damage of long-span cable-stayed bridges based on wavelet packet energy spectrum 基于小波包能量谱的大跨斜拉桥拉索损伤预警方法
- Structural Damage Alarming Indices for Long-Span Bridges Based on Wavelet Packet Energy Spectrum 基于小波包能量谱的大跨桥梁结构损伤预警指标
- The Application of Wavelet Packet Energy Feature to the Fault Diagnosis of Automotive Transmission Bearing 小波包能量特征法在汽车变速器轴承故障诊断中的应用
- Detection and Classification of Power Quality Short-term Disturbance Based on Wavelet Packet Energy Chart 基于小波包能量谱的电能质量短期扰动检测和分类方法
- Identification method of gas-liquid two-phase flow pattern based on wavelet packet energy feature 基于小波包能量特征的气液二相流流型识别方法
- wavelet packet energy analysis 小波包能量分析
- wavelet packet energy entropy 小波包能谱熵
- wavelet packet energy reorient 小波包能量矩
- wavelet packet energy spectrum 小波包能量谱
- wavelet packet energy 小波包能量
- Colligating AR parameter model coefficient and Wavelet packet decomposition energy feature,we get feature vector of battlefield sound-target. 综合AR参数模型系数和小波包分解能量特征,获得战场声目标特征矢量。
- Thus it proposes the BP neural network fault diagnosis algorithm based on the incompletion wavelet packet transform and energy normalization as preprocessors. 提出了一种基于不完全小波包变换和能量归一化作为预处理的模拟电路故障诊断的BP网络算法。
- Firstly, the characters of wavelet transform and wavelet packet analysis were introduced. 首先，简略地介绍了小波变换与小波包分析的特点。
- We choose wavelet and wavelet packet because wavelet transform (WT) itself has the character of multiresolution. 之所以选择小波和小波包变换是因为小波变换本身就是多分辨率的，这使得它比那些固定分辨率的变换，比如STFT(短时傅立叶变换)更加适合人类的生理声学模型。
- The wavelet packet transform can be used to compress seismic data in large batch processing. 在大批量地震数据处理中可以使用小波包变换压缩地震数据。
- Finally,the possibility of wavelet packet modulation application in Digital AM transmission system is discussed. 通过与基于离散傅里叶变换的正交频分复用调制系统进行比较 ,探讨了小波包调制应用于数字调幅传输系统的可能性
