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- wavelet packet eigenvector 小波包特征向量
- Based on the frequency domain feature, energy eigenvector of frequency domain is presented using wavelet packet analysis method, and the way of best tree is used to choose symptom. 用转子振动试验台模拟了汽轮机典型故障,根据其频域变化特性,采用小波包分析对其建立频域能量特征向量,并根据最佳分解树进行了特征选择。
- 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
- Abstract: We developed a real-time wideband speech codec adopting a wavelet packet based methodology. 摘要：本文论述采用小波包法进行实时宽带语音编码。
- In this paper,mean threshold is presented on which wavelet packet de noising is studied. 文中提出了平均阈值的概念 ;并在此基础上研究了小波包去噪的效果 .
- It has been proved that the wavelet packet de noising is an effective method prior to wavelet de noising. 仿真结果表明 ,基于平均阈值的小波包去噪是一种有效的去噪方法 ,其效果优于小波去噪
- Firstly, the optimal WPD (wavelet packet decomposition) with the fuzzy criterion is obtained. 首先，利用模糊准则得到最优小波包分解；
- The paper has researched the remote sensing image wavelet packet fusion based on the ARSIS concept. 摘要研究了基于ARSIS概念的遥感影像的小波包融合方法。
- The theory of wavelet packet transform and the method of voltage signal analysis with wavelet packet was presented. 简述了小波包变换的基本原理及利用小波包对电压信号进行分解的方法。
- Flexibility and the precise ability of local analysis in wavelet packet analysis during signal denoising are analyzed. 分析了小波包分析在信号去噪中所具有灵活精确的局部解析能力；
- It is based on a combination of frequency shifts with the undecimated wavelet packet transform. 该算法是将频移与非抽取小波包变换结合起来的一种方法。
- Objective To explore the effect of band power and wavelet packet entropy in the recognition of hand imagery. 目的探讨脑电信号频带能量和小波包熵在识别左右手想象运动中的作用。
- WPT-BAYES(combination of wavelet packet transform and Bayes) method can improve its recognition accuracy to 98%. 采用WPT-BAYES(小波包变换-贝叶斯)方法,可以大幅度提高识别精度,其正确识别率高达98%25以上,满足使用要求。
- After introducing wavelet packet, a new method for data compression, based on embedded zerotree wavelet, is presented and applied to power system fault data compression. 在描述小波包变换的基础上，提出了一种由嵌入式零树编码算法改变而成的应用于电力系统一维故障数据压缩的压缩方法。
- The numeric example showed that the wavelet packet analysis can resist noise disturbs and detect the structural damage effectively. 数值算例表明，小波包分析具有较强的抗噪声干扰能力，能够有效地识别结构的损伤。
- The identification method of the echolocation calls from four species of Rhinolophus in flight was studied based on the wavelet packet decomposition. 研究了飞行状态下的四种菊头蝠回声定位声波的识别方法。
- A method to simulate fatigue stress history based on the wavelet packet transform, a special branch of the theory of wavelet analysis was presented. 采用小波分析理论中的小波包变换 ;提出了一种基于小波分析的模拟疲劳应力的方法 .
