利用小波变换进行边缘提取的MATLAB程序

波形分析,采用FFT运算-waveform analysis using FFT

关于二维小波变换的程序 [精华] 说明：此算法重在概念，速度并不是很快。因为FOR循环的缘故。此程序从循环矩阵的观点出发，把圆周卷积和快速幅里叶变换建立了联系。实现了分解和无失真重构。它只做了一层分解，即将256x256图形分解成为64x64的四个图形，避免了使用WKEEP()的困惑。主要思想为用小波滤波器族构造正交阵W,变换写为B=W*A*W ,反变换为：A=W *A*W,这与所有正交变换无异。W为循环正交矩阵，因此可用FFT实现快速运算，难点就在重构矩阵上。若用矩阵概念明确，一个共扼转置可以搞顶。但FFT的使用必须找到与分解序列的关系。-on Wavelet Transform procedures [best] Note : This algorithm important concept is not speed quickly. Because FOR cycle nowadays. This program cycle from the point of view of Matrix, circular convolution and fast Fourier transform is established links. To achieve the decomposition and reconstruction without distortion. It only had one decomposition, 256x256 graphics will be 64x64 decomposition of the four graphics, avoiding the use of WKEEP () confusion. The main idea of using wavelet filter generator orthogonal array W, write to transform B = W* A* W, anti-Transform : A = W* A* W, which is orthogonal transformation all the same. W cycle orthogonal matrix, can be used to achieve rapid FFT computation, on the dif

CurveLab 图象处理matlab工具箱，对信噪比较低情况下的边界处理有较好的处理效果-CurveLab Image Processing Toolbox Matlab, right lower signal-to-noise ratio of the border is better treatment effect

图像处理中的小波变换C++源代码，含有使用文档和例子，非常全面！-image processing wavelet transform C source code, documentation and with the use of examples, very comprehensive!

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用于图像的多尺度分析，shapelet变换用matlab 编程实现-shapelet code

小波零树变换的图象压缩解压缩程序，应该能看懂。-Zerotree wavelet transform image compression decompression procedure, we should be able to read.

此程序实现的是将50HZ和100HZ正弦波分离的程序。并对小波谱分析的实现给出了启发性程序。-this program is to Shekou and 518067 sine separation procedures. Spectral analysis of small achievement given the enlightening procedure.

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使用vc++6.0完成快速离散余弦变换。-Use vc++ 6.0 complete the fast discrete cosine transform.