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- quad-tree complex wavelet packet transform (QCWPT) 四树复小波包变换
- Dual-Tree Complex Wavelet Packet Transform(DTCWPT) 双树复小波包变换
- COMPLEX WAVELET PACKET BASIS FUNCTION MODULATION BASED FREQUENCY-HOPPING MULTIPLE ACCESS COMMUNICATION SYSTEM 基于复小波包基函数调制的跳频多址通信系统
- Complex wavelet packets transform 复小波包变换
- Complex wavelet packet 复小波包变换
- 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。
- An improved digital watermarking algorithm based on dual-tree complex wavelet transform was presented. 提出了一种改进的、基于二元树复小波变换的数字水印算法。
- 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 .
- Dual-Tree Complex Wavelet Transform(DT-CWT) can provide shift invariance and directional selectivity. 对偶树复小波变换具有良好的方向选择性和平移不变性。
- 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；
- A rotation invariant texture classification algorithm based on log-polar and Dual-Tree Complex Wavelet Transform(DT-CWT) is proposed. 提出了一种基于对数-极坐标变换(Log-Polar)和双树复数小波变换(DT-CWT)的旋转不变纹理分类算法。
- 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。
- A texture classification algorithm based on Dual-tree Complex Wavelet Transform (DT-CWT) and Support Vector Machines (SVM) is proposed. 提出了一种基于双树复数小波变换(DT-CWT)和支持向量机(SVM)的纹理分类算法。
- 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。
- For the multidirectional images, Dual-Tree Complex Wavelet Transform (DTCWT) was employed instead of the traditional Discrete Wavelet Transform (DWT). 对于多方向性的图像，使用双树复小波变换取代传统的离散小波变换。
