matlab计算haar 小波各级近似系数和细节系数的频率响应（CA1，CD1，CA2，CD2，CA3），并画出幅频图，便于理解小波变换的意义，(U191 u7197 u5c1 u5c1 u5Fc1 u4Fc u653 u564C u548C u7286 u8282 u7CFB u6570 u7684 u9891 u54CD u5E94 uFF08CA1 uFF0CCD1 uFF0CCA2 uFF0CCD2 UFF0CCA3 uFF09 uFF0C u5E76 u753B u51FA u5E45 u9891 u56FE uFF0C u4FBF u4E8E u7406 u89E3 u5C0F u6CE2 u53D8 u6362 u7684 u610F u4E49 uFF0C)
本程序为小波包能量计算程序，根据相关资料，自己编写，计算感兴趣的频带能量，程序懂得人稍作修改就可以运行( U672C u7A0B u5E8F u4E3A u5C0F u6302 u803F0 u0B1 u7B97 u7A0B u5E8F uFF0C u6839 u636E u76R8 u5173 u8D44 u6599 uFF0C u81EA u5DF1 u7F16 u5199 UFF0C u8BA1 u7119 u6119 u5113 u8E1 u7684 u9891 u5E26 u80FD u91CF uFF0C u7A0B u5E8F u61C2 u5F97 u4EBA u7A0D u4F5C u4FEE u6539 u5C31 u53EF u4EE5 u8FD0 U884C)
第二代小波变换，包含常见的小波基函数和算例(The second generation wavelet transform contains the common wavelet basis functions and examples)
由加州理工大学教授开发的经验小波变换算法程序包，经检验比小波效果更好(California Institute of Technology developed by Professor experiences wavelet transform algorithm package, the test better than wavelet effect)
基于小波变换的图像编码，已经使用，效果很好。(Image coding based on wavelet transform has been used with good results.)
实现连续小波变换，对信号进行频谱分析。精度很高(continuous wavelet transform)
用于时频分析，其中包括短时傅里叶变换、小波变换、脊线提取以及一些信号的生成等。(For time-frequency analysis, including short-time Fourier transform, wavelet transform, ridge extraction and generate some signals and so on.)
对图像进行小波变换的分解和重构的代码，包含以为信号的处理。( The image decomposition and reconstruction of wavelet transform code, including that the processing of the signal.)
通过学习小波变换原理，自行编写小波函数，不用matla自带小波函数(Wavelet transform principle, by learning to write wavelet function, need not matla with wavelet function)
此程序用DWT(离散小波变换)实现二维小波变换(discrete wavelet transform )
非抽样小波变换的程序，可以自己更改使用，去噪效果较好( UWT s program, you can change the use of their own, better de-noising)
基于小波变换的去雾处理程序，附有实验图片，可以运行的，希望对大家有帮助！(Based on wavelet transform to fog handler, attached to the experimental images, you can run, I hope it can help you!)
Harr小波具有紧支撑、零调和性和优良的正交性等优点，因此选择它作为小波变换的基函数。对采样数据进行4层小波包变换得到16维的特征样本。(Harr wavelet has compact support, zero reconcile and excellent orthogonality, etc., so choose it as the base function of wavelet transform. 4 layers of sampled data wavelet packet transform feature samples 16 dimensions.)
基于小波变换的信号去噪技术，简单的一维小波去噪程序(Signal de-noising based on wavelet transform technique, a simple one-dimensional wavelet denoising procedure)
基于小波变换的信号去噪技术，简单的一维小波去噪程序(Signal de-noising based on wavelet transform technique, a simple one-dimensional wavelet denoising procedure)
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