jubunengliang

说明：  基于vc++6.0 的图像对比度拉伸操作(vc 6.0 on the image contrast stretching operation)

关于小波变换及其应用的一本经典教材，值得学习(A classic textbook on wavelet transform and its application is worth learning)

小波变换与分数傅里叶变换理论与应用(冉启文）电子版，介绍了小波变换、多分辨分析、小波构造、时频分析、小波包、塔式算法、分数傅立叶变换等内容，是一本不错的教材。(Wavelet Transform and Fractional Fourier Transform Theory and Applications (Ran text) electronic version, introduced the wavelet transform, multiresolution analysis, wavelet construction, time-frequency analysis, wavelet packet, tower algorithm, the fractional Fourier transform, etc., is one The good teaching materials.)

小波谱分析mallat算法经典程序 希望对大家的学习有帮助(The small spectral analysis of the classical program of the mallat algorithms hope that everyone' s learning)

基于小波变换的信号奇异性检测，小波模极大值的计算(The signal singularity detection based on wavelet transform )

本文通过比较第一代和第二代小波算法特点,引入二代小波提升结构的概念,提出了一种基于二代小波提升结构的快速图像边缘检测算法 对三次B样条小波基实现提升格式,通过计算大尺度下分解子图的模值和幅角来确定边缘 经过实验比较,能比经典的边缘检测算法得出更精确的边缘图像,同时通过与基于第一代小波算法的边缘检测比较,基于二代小波提升格式的边缘检测算法计算更快速,更高效。(In this paper, by comparing first-and second-generation wavelet algorithm features, the introduction of second generation wavelet to enhance the concept of structure, a second generation wavelet-based structure to enhance the rapid image edge detection algorithm on the three B-spline wavelet lifting scheme to achieve through Calculation of large-scale mold subgraph decomposition value and increase the edge angle to determine the experimental comparison, than the classical edge detection algorithm to draw a more accurate edge image, at the same time with the first generation of wavelet-based edge detection algorithm comparison, based on the Second generation wavelet lifting scheme edge detection algorithm is faster and more efficient.)

本程序用Mallat算法实现小波变换,方法简答以实现(This program uses the mallat algorithe to implement wavelet transform)

此程序用DWT(离散小波变换)实现二维小波变换(discrete wavelet transform )

svd算法的实现,用matlab实现SVD算法(the implementation of the SVD algorithm)

小波变换的C源代码。 这个用的是 DB4小波，周期延拓，可以实现精确重构的。 (wavelet transform C source code. The DB4 is using the wavelet cycle extension can achieve precise reconstruction.)