您要查找的是不是:
- optimum wavelet packet decomposition 最佳小波包分解
- Image compression with R-D matched optimum wavelet packet and zero tree R-D匹配优选小波包零树图像压缩
- optimum wavelet packet 最优小波包
- The optimum wavelet is finally evaluated based on the varimax criterion for a zero-phasing seismic record or section. 本文提出利用时窗长度扫描的方法,以不同的子波相位谱对地震记录进行子波零相位化处理,最后根据最大方差模准则确定最佳子波。
- 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。
- Based on the analysis of features of wavelet base, the optimum wavelet base adaptable to mutiscale analysis is determined in well logging. 根据多尺度分析方法的要求,结合实测自然伽马测井曲线的特点,通过比较选定适合该方法的最优小波基。
- This paper carries on research to denoise the pulsar signal by using wavelet transformation, and choose the optimum wavelet and resolving level. 根据脉冲星信号的特点采用小波消噪的方法对其进行处理,并对小波的选取和分解层数的优化进行了研究。
- 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。