Wavelets-applications

单小波变换应用于图像压缩,及其应用于图像融合的MATLAB代码(Single-wavelet transform to image compression, image fusion and its application to the MATLAB code)

实现构造小波基，求解小波尺度函数离散整数点的值以及实现尺度函数经伸缩后的离散值等功能。(Implement the constructor wavelet basis functions to solve the discrete wavelet scale and the realization of the value of an integer point scale after scaling function by a discrete value functions.)

线调频小波路径追踪算法的程序，对研究瞬时频率估计有很大的参考价值。(Chirplet path tracing algorithm of the program, the study of instantaneous frequency is estimated that there is a great reference value.)

小波变换程序，用于对一维信号，二维信号进行稀疏变换(wavelet transform)

基于morlet小波的小波熵的源代码，希望有用，共分享(the code of waveletentropy)

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.)

M. N. Do的经典的关于轮廓波变换的matlab代码，里面有matlab代码、论文、测试图片，很齐全，是很好的学习资料！(The MN Do classic on contourlet transform matlab code matlab code, papers, test image there, very complete, good learning materials.)

小波变换 小波变换 (Wavelet Transform Wavelet Transform)

说明：  小波变换用于脑电信号处理，可以很好的对脑电信号进行时频分析(Wavelet transform for EEG signal processing, can be very good for time-frequency analysis of EEG)

基于小波变换的电压暂降定位 利用模极大值原理实现暂降起止时刻的准确检测(voltage sag lacote based on wavelet transform Used to achieve maximum modulus principle sag beginning and ending time of the accurate detection)