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这是一个关于小波应用工程程序的期末作业，里面包括连续小波变换和离散小波变换，适合初学者使用-This is a project on the application of wavelet end of the operating procedures, including inside the continuous wavelet transform and discrete wavelet transform, for beginners
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小波变换具有良好的时—频局部性，是分析奇异信号的重要方法定点DSP在工程中的厘用士分背通，具实现小波变换可以满足工程是实时性的要求文中简要介绍了小波变换理论及算法，并结合TI公司的16位定点说明算法的实现。
-Wavelet transform has a good time- frequency localization, is to analyze the singular signal an important means of fixed-point DSP in engineeri
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vc环境，小波变换及其应用一书的源代码，可以直接在项目中使用-vc environment, wavelet transform and its application of the book' s source code can be directly used in the project
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the Matlab project contains the source code used for simple watermarking using wavelet transform. Performs watermarking of the input image by decomposing the image using haar wavlet. Noise generated with normal distribution is used as the key and is
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The following Matlab project contains the source code and Matlab examples used for continuous wavelet transform and inverse.
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the Matlab project used for biorthogonal wavelet transformation. A biorthogonal wavelet is a wavelet where the associated wavelet transform is invertible but not necessarily orthogonal.
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The following Matlab project contains the source code and Matlab examples used for continuous morlet wavelet transform. For documentation please refer to: http://arxiv.org/abs/0706.-The following Matlab project contains the source code and Matlab exa
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小波变换已应用到工程的各个方面，但一般只是应用MATLAB的小波工具包来编程，有时需要自己编程实现，故这里给出了DB4小波变换的C实现-Wavelet transform has been applied to all aspects of the project, but generally only apply MATLAB wavelet toolkit for programming, sometimes need their own programming, so here is a
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gabor小波变化的实现，用于数字图像处理中Gabor特征的完全提取。自己项目中已经用到了。-Achieve gabor wavelet transform for digital image processing totally Gabor feature extraction. Himself has used the project.
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二进小波和非线性变换的图像增强项目
二进小波和非线性变换的图像增强项目(Image enhancement project based on two in wavelet and nonlinear transform)
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毕业设计（论文）-基于MATLAB小波变换的去噪应用(Graduation project (Thesis) - denoising application based on MATLAB wavelet transform)
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