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- Upon this basis a concept of DWPT-based wavelet packet multicarrier transmission system is established，and the optimal wavelet packet multicarrier modem technique is proposed. 在此基础上建立起基于DWPT的小波包多载波传输系统的概念，提出了最佳小波包多载波调制解调技术。
- By the method of transforming training sequences and calculating the mean square error of the demodulated signal in each subband branch, the optimal wavelet packet best-tree could be decided. 该算法在不增加传输系统复杂度的条件下，通过发送训练序列，并计算各个小波树分支解调信号的均方误差，从而确定最佳树优选分解。
- Optimal Wavelet Packet Transform 最佳小波包变换
- optimal wavelet packet best-tree 优选树
- The Approach to Surface EMG Signals Classification Based on Optimal Wavelet Packet 基于最佳小波包的表面肌电信号分类方法
- Optimal wavelet packet base 最优小波包基
- optimal wavelet packet 最佳小波包
- 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；
- Algebraic feature extraction on the spectro-space has been proposed, which combines the wavelet analysis, wavelet packet analysis and the generalized optimal discriminant analysis. 提出了一种在频域上的代数特征抽取方法，该方法将小波分析、小波包分析和最优鉴别分析、广义最优鉴别分析相结合。
- 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。
- The comparison experiments show that the optimal wavelet decomposition level for multi-focus image fusion of 5 levels. 对比实验结果表明，多聚焦图像融合的最佳小波分解层数为5层。
- 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 .
- According to the least quantization error criterion of optical wavelet filter in space domain and frequency domain, an optimal wavelet was constructed based on lifting algorithm. 根据光学小波滤波器的空、频域量化误差最小原则，基于提升算法，构造出空、频域量化误差最小的最优小波。
- 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
- 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。
