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5下载：
通过matlab实现二维离散小波变换的Mallat快速算法源程序和对二维图像进行多级分解与重建-Matlab achieved by two-dimensional discrete wavelet transform Mallat fast algorithm and multi-dimensional image decomposition and reconstruction
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小波变换的matlab程序，包括离散小波变换，多尺度变换，小波包分析，小波用于图像压缩、水印、去噪-Matlab wavelet transform procedures, including the discrete wavelet transform, multi-scale transform, wavelet packet analysis, wavelet image compression, watermarking, denoising
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小波变换和离散时间域的多分辨率分析。是学习信号处理的号资料-Wavelet transform and discrete multi-resolution time domain analysis. Number of learning data signal processing
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Discrete Wavelet Transform，[1]离散小波变换是指在特定子集上采取缩放和平移的小波变换，是一种兼具时域和频域多分辨率能力的信号分析工具。此变换运用可以缩放平移的小波代替固定的窗进行计算分析，主要应用于信号编码和数据压缩-Discrete Wavelet Transform, [1] the discrete wavelet transform is adopted in a specific subset of the zoom and pan on the wavel
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小波基的构造
求解小波尺度函数离散整数点的值
本函数实现尺度函数经伸缩后的离散值
采用双尺度方程求解小波基函数
多孔trous算法(undecimated wavelet transform)实现小波变换
绘图-Wavelet base structure
Solving discrete wavelet multi-scale functions the value of the integer point
This function by the expan
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离散小波变换，单尺度一维离散小波分解，多层一维分解，对雷达单道数据进行小波离散处理及显示-Discrete wavelet transform, a single one-dimensional discrete wavelet scale, multi-dimensional decomposition, single-channel radar data processing and display discrete wavelet
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在MATLAB环境中，进行图像的离散傅里叶变换和离散余弦变换
在MATLAB环境中，进行图像的离散小波变换，观察子带对重建图像的影响，理解小波变换的多分辨率特性(In the MATLAB environment, the image of the discrete wavelet transform, observe the sub-band on the reconstruction of the image, understand the multi-resolution characte
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