小波分析与应用（超星格式电子书）

基于小波和模糊理论的纹理分割方法,过程非常详细-Based on wavelet theory and fuzzy texture segmentation method, a very detailed process

小波变换的一些源程序-wavelet transform some source

该程序包包含若干滤波算法，主要是小波滤波和FFT滤波算法-The program packet includes some arithmetics of filtering, which mainly are wavelet and fft filter methods.

使用小波变换的图像边缘检测算法-use wavelet transform Edge Detection Algorithm

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 engineering per cent pass with disabilities at the back with the realization of wavelet transform to meet the project is a real-time requirements of the article a brief introduction of wavelet transform theory and algorithm, combined with TI

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

该代码为在c语言环境下的基于小波变换的图像处理-The code in c language environment based on wavelet transform image processing

2D_wavelet 小波变换，SPIHT编解码，改进SPIHT,零数编码，解码-2D_wavelet wavelet transform, SPIHT codecs, improved SPIHT, zero coding, Decoders

小波图象去噪综述谢杰成张大力徐文立-Wavelet Image Denoising vigorously Jie Zhang Xu Wenli

小波变换的visual c++实现源代码，有效实现了小波的快速变换，得到很好的恢复图像，是个很有价值的源程序。-wavelet transform visual c achieve source code, the effective realization of the fast wavelet transform, well restored images, is a valuable source.