CBIR

快速解前推回代法，三相的配電網潮流包含線損(Quick Solution forward and backward substitution method, three-phase distribution power flow includes line losses)

基于遗传算法的神经网络程序，共三个文件，主程序，适应值函数和应用示例(Based on genetic algorithm neural network, with a total of three documents, the main program, fitness function and application example)

西蒙赫金的《自适应滤波原理》一书的matlab程序，现在继续上传第四章的程序， 大家学习交流，觉得有用的自己下载，(西蒙赫gold Adaptive Filtering Theory matlab program book, and now continue to upload procedures of Chapter IV, we study the exchange of their own find useful downloads,)

常规波束形成固定入射角度估计方位的标准差与信噪比SNR的曲线的仿真程序(Conventional beamforming the estimated azimuth angle fixed standard deviation of the curve with the signal to noise ratio SNR of the simulation program)

2DLDA PK LDA for feature extraction

本程序采用matlab编码，一共有包括帧间差分法、背景差分法、光流法、混合高斯模型法四种方法来实现红外目标检测的功能，代码检测易懂，适合初学者多多借鉴~(This procedure using matlab coding, a total including the inter-frame difference, background subtraction, optical flow method, Gaussian mixture model approach are four ways to achieve infrared target detection capabilities, code detection understand for beginners learn a lot ~)

这是一个matlab源程序文件，这个文件包含是最小二乘法的M文件、追赶法m文件等，可以直接调用(This is a matlab program that is the least squares method M-file, which contains a performance function, you can directly call)

In this session, I will focus on the gridding method for fast image reconstruction from non- Cartesian data [1-5]. While gridding is not the only game in town, it is the reconstruction of choice when reconstruction time is an issue. Other reconstruction techniques include rBURS [6] and non-Cartesian iterative methods [7,8]. Non-Cartesian iterative methods generally use gridding and inverse gridding as their core operation, so even when gridding is not the right solution for an application, an understanding of gridding can be useful. I will cover the main steps of the gridding algorithm and then discuss some implementation tips that can signicantly reduce the computation time. Finally, I will present some illustrations and viewpoints that I have found to aid in an intuitive understanding of the gridding method, which can be helpful when designing the density compensation function and judging the appropriateness of gridding as a solution for a particular application.

用遗传算法解决最短路径优化TSP问题(附matlab源程序.txt)(The solvelution of the shortest path optimization problem TSP by using genetic algorithms)

Metodo de biseccion, muy bueno