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对一幅图像的进行小波包分解，然后提取每一层的系数-image of a pair of wavelet packet decomposition, and then extract the coefficient of each layer
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本人的小波课作业：
图像的daub4小波包分解和重构，以及画shannon小波函数等-I wavelet class operations : Image daub4 wavelet packet decomposition and reconstruction. shannon and paintings such as wavelet function
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小波包分解和重构vc++完全代码，非常好的东西，内容全面，重点推荐！-wavelet packet decomposition and reconstruction vc complete code, very good things, a comprehensive and focused recommended!
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小波包分解去噪c++源程序，包括信号的小波包分解，最优树选择，以及重构-Wavelet packet denoising c++ Source, including the signal wavelet packet decomposition, optimal tree selection, as well as the reconstruction of
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基于小波包分解的脑电信号特征提取.格式是caj后缀的，大家看的时候可能得有CAJViewer 这个软件-Based on wavelet packet decomposition of the EEG feature extraction. CAJ suffix format is, we see there may be a time when the software CAJViewer
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本程序重构各层低频和高频系数，画功率谱，横坐标为频率，纵坐标为功率，小波包分解最后一句是为显示小波包四层分解树结构-Reconstruction of the procedural layers of low and high frequency coefficients, draw power spectrum, the abscissa is the frequency, the vertical axis is power, wavelet packet decomposition is
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对信号进行四级小波包分解重构的源程序。将要分解的数据文件存放在E:\ta.wav -4 of the signal reconstruction wavelet packet decomposition of the source. Decomposition will be stored in the data file E: \ ta.wav '
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对信号进行小波包分解并求取各个分量的功率谱-The signal wavelet packet decomposition and obtain the power spectrum of the various components
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小波变换是一种快速发展和比较流行的信号分析方法, 其在图像处理中有非常重要的应用, 包括图像压缩, 图像去噪, 图像融合, 图像分解, 图像增强等。小波分析是傅立叶分析思想方法的发展与延拓。除了连续小波
(CWT)、离散小波(DWT), 还有小波包avelet Packet)和多维小波。本文主要介绍小波变换的发展及其在图像处理、的应用-Wavelet transform is a fast-growing and more popular method of signal analysis,
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基于小波包分解的语音去噪，根据熵谱概率密度函数估计阈值，去除实际环境噪声。-Based on wavelet packet decomposition of the voice de-noising, in accordance with spectral entropy probability density function estimated threshold, the actual removal of environmental noise.
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关于小波包多尺度分解与重构的学习资料，详细介绍了各函数的语法与用法-Some very useful multi-scale wavelet packet decomposition and reconstruction of information
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利用小波包分解4种不同间隙的局部碰磨故障，可查看故障的频谱。-The use of wavelet packet decomposition of 4 different partial gap Rubbing failure, failure to see the spectrum.
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极其经典的小波包分解程序，奇异点检测，附图说明-Most classical wavelet packet decomposition process, singular point detection, photo descr iption
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支持向量机在小波包去噪方法中的应用，小波包分解和svm相结合-Support vector machines in wavelet packet denoising of wavelet packet decomposition and combination svm
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1）了解小波分解与小波包分解概念区别与联系；
2）了解小波包的分解和重构算法积；
3）用matlab编程对信号进行小波包分解及小波能量图的绘制。
-1) to understand the wavelet decomposition and wavelet packet decomposition of differences and relations between concepts 2) to understand the wavelet packet decompositi
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Choice of Wavelets for Image Compression
In wavelet-based image coding the choice of wavelets is crucial and determines the coding
performance. Current techniques use computationally intensive search procedures to find the optimal basis (type,
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小波包与图像边缘检测。小波包分解后得到图像序列有近似部分和细节部分组成，近似部分是原始图像对高频部分进行滤波所得的近似表示-Wavelet packet and image edge detection. Wavelet packet decomposition get image sequence is approximate part and detail parts, approximate part is the original image of the high frequency
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小波包分解与重构使用，最佳树使用方法。小波分析理论与MATLAB实现实例。很好的程序，希望对大家有用。-Wavelet packet decomposition and reconstruction using the best tree to use. MATLAB implementation of wavelet analysis theory and examples. Very good program, I hope all of us.
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利用Daubechies小波(m=2)对函数的小波包分解与重构。把函数值作为起始系数-Use Daubechies wavelet (m = 2) the function of wavelet packet decomposition and reconstruction. The function value as initial coefficient
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小波包去噪，用小波包去除一维信号的噪声,分解小波包系数画图说明比较全面-Wavelet Packet Denoising using wavelet packet to remove the noise of a one-dimensional signal decomposition wavelet packet coefficients drawing the more comprehensive
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