lansvd

一维时间序列分行维数，利用计盒法计算得到的分形维数，希望对大家有所帮助！(Branch of one-dimensional time series dimension, using box method calculated the fractal dimension, and they hope to be helpful to everyone!)

这两个代码是用贝努利法求方程的最大实根和最小实根，方程只要是标准形式输入参数就可以调用此MATLAB函数(These two functions which are writtern by Matlab can solve out the max and min root through the Benvli method.)

this file is an ac to ac controller. you can control the output by adjusting the firing angle of the SCR.

使用灰度共生矩阵提取纹理信息，程序为一个exe的应用方式(Extract texture information using gray level co-occurrence matrix)

multi scale structural similarity index

压缩感知程序源码，Blind compressed sensing (BCS)不需要在采样和恢复阶段预先知道稀疏基。源码对于研究压缩感知前沿具有很好的借鉴意义。(The fundamental principle underlying compressed sensing is that a signal, which is sparse under some basis representation, can be recovered from a small number of linear measurements. However, prior knowledge of the sparsity basis is essential for the recovery process. Blind compressed sensing (BCS) avoids the need to know the sparsity basis in both the sampling and the recovery process. That is, BCS aims at recovering an ensemble of vectors, all sparse under the same unknown basis, given small number of linear measurements of these vectors. )

matlab 源码程序 基于互信息熵的图像配准方法，其中包括图像配准的程序，还有程序运行的界面，对于初学图像配准或者利用MATLAB做GUI界面的同学有所帮助(matlab source program based on mutual information image registration methods, including image registration procedures, as well as running the interface, image registration for the beginner or the use of MATLAB GUI interface to do to help students)

本文档含两个m文件dial.m和 dijkstra1.m ，dial需要调用dijkstra1。(This document contains two m files, dial.m and dijkstra1.m. Dial needs to call dijkstra1.)

An Introduction to neural networks

针对高精度的畸变图像,提出了一种基于最小二乘影像匹配的高精度畸变图像矫正算 法. 算法首先利用特征提取与边缘检测对图像进行预处理,并且将特征匹配与最小二乘算法相 结合,从而实现了图像与模板之间精确的子像素定位与匹配. 实验表明,该算法较好的解决了目前高精度畸变图像矫正算法中普遍存在的定位和匹配精度较差的缺陷,图像矫正效果良好,是一种有效的畸变图像矫正算法.(Image distortion for high-precision, a least-squares image matching based on high-precision image distortion correction algorithm. First of all, the use of feature extraction algorithm for edge detection and image pre-processing, and will feature matching with a combination of least-squares algorithm in order to achieve the image and the template between the sub-pixel accurate positioning and matching. The experimental results show that the algorithm has better accuracy of the solution to the current distortion prevalent image correction algorithm to match the accuracy of the positioning and less defects, image correction effect well, is an effective algorithm to correct image distortion.)