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This matlab code for Multi-level discrete two-dimension wavelet transform based on lifting method.
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利用离散小波变换在一维时间序列上进行多尺度变换-The use of discrete wavelet transform in one-dimensional time series on the multi-scale transformation
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实现以下功能：装载信号；完成信号的单尺度一维离散小波分解；从系数中重构低频部分和高频部分；显示高频和低频部分；由小波逆变换恢复信号；多层一维分解；提取系数的低频和高频部分；重构第3层的低频系数；重构第1、2、3、4、5层的高频信号；重构原始信号并显示-Achieve the following functions: load signal complete signal single-scale one-dimensional discrete wavelet decomposition r
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二维和三维的离散双树小波正变换和逆变换，具有多方向分辨特性-Doubletree two-dimensional and three-dimensional discrete wavelet transform and inverse transform is, to distinguish features with multi-directional
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Multi-level discrete 2-D wavelet transform with the Cohen-Daubechies-Feauveau (CDF) 9/7 wavelet. -Multi-level discrete 2-D wavelet transform with the Cohen-Daubechies-Feauveau (CDF) 9/7 wavelet.
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二维离散小波变换对多光谱图像与全色图像融合算法-Two-dimensional discrete wavelet transform for multi-spectral image and panchromatic image fusion algorithm
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2.1 傅里叶变换
2.1.1 经典傅里叶变换
2.1.2 傅里叶变换的基本性质
2.1.3 快速傅里叶变换
2.1.4 短时傅里叶变换
2.2 小波分析与多分辨率分析的历史
2.3 小波分析与傅里叶变换的对比
2.4 小波变换
2.4.1 连续小波变换
2.4.2 离散小波变换
2.4.3 高维小波连续变换
2.5 常用小波基函数
2.5.1 小波函数
2.5.2 小波函数系
2.5.3 复数小波
2.6 构造紧支撑正常小波基
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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 refers to the specific subset take scaling and translation on the wavelet transform, is a kind of multi-resolution ability both t
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The most widely used transform for image fusion at
multi scale is Wavelet Transform since it minimizes structural
distortions. But, wavelet transform suffers lack of shift
invariance & poor directionality. These disadvantages are
overcome by
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0下载：
The most widely used transform for image fusion at
multi scale is Wavelet Transform since it minimizes structural
distortions. But, wavelet transform suffers lack of shift
invariance & poor directionality. These disadvantages are
overcome by
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