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- Best Wavelet Packet Groups 最优小波包基
- best wavelet packet group 最优小波包基
- A new algorithm of zerotree and fractal image is presented by selecting the best wavelet packet basis and different encoding methods were used, i. e. wavelet zerotree and fractal image. 在分析小波包变换、零树编码和分形编码的特点的基础上，通过选择最佳小波包基，对不同子带分别采取零树编码和分形预测编码等措施，提出了一种基于小波包变换的零树分形图像编码算法。
- A method is proposed for segmenting MR brain images using the best wavelet packet transform，and the eigenvectors are come into using the energy of wavelet packets’ coefficients. 摘要 提出应用最优小波包变换对磁共振颅脑图像做分解，以各子带小波包系数的能量形成纹理特征集；
- the best wavelet packet transform 最优小波包变换
- Transient power quality classification based on best wavelet packet basis decomposition 基于最优小波包基分解的暂态电能质量分类方法
- DENOISING AND DETECTION OF FAULTED MOTOR SIGNAL BASED ON BEST WAVELET PACKET BASIS 基于最优小波包基的电动机故障信号的消噪与检测
- Best wavelet packet basis 最佳小波基
- 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。
- In the study of brain-computer interfaces,a method based on best basis of wavelet packet decomposition was proposed.The method is used for the feature extraction of electroencephalogram. 在脑机接口研究中;针对脑电特征抽取;提出一种基于小波包最优基分解的方法.;依据距离准则;从小波包库中选择一个对分类最优的小波包基;
- 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。
- Based on the wavelet decomposition of PD signal and white noise, a new method of transformer PD de-noising using the best wavelet for every layer is proposed. 在对局部放电信号和白噪的小波分解特性进行分析的基础上，以减小去噪对局部放电脉冲幅度误差和波形畸变为目标，提出了逐层最优小波算法。
- 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。
