Microcontroller-Based-PVMPPT

这个子程序是为了在第二种情况下对联合部分或者生命部分的估计值而编写的。(This routine is for evaluating union or intersection operation under type2. )

Sorting and Searching Algorithms: A Cookbook

盲源分离（BSS: Blind Source Separation），又称为盲信号分离，是指在信号的理论模型和源信号无法精确获知的情况下，如何从混迭信号（观测信号）中分离出各源信号的过程。盲源分离和盲辨识是盲信号处理的两大类型。盲源分离的目的是求得源信号的最佳估计，盲辨识的目的是求得传输通道混合矩阵。(Blind signal separation (BSS), also known as blind source separation, is the separation of a set of source signals from a set of mixed signals, without the aid of information (or with very little information) about the source signals or the mixing process. This problem is in general highly underdetermined, but useful solutions can be derived under a surprising variety of conditions. Much of the early literature in this field focuses on the separation of temporal signals such as audio. However, blind signal separation is now routinely performed on multidimensional data, such as images and tensors, which may involve no time dimension whatsoever.)

Matlab code for simulating Clayton copula, Frank copula, Gumbel copula, Gaussian copula and Student t-copula

this file show the simulation of induction speed

目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。(Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.)

一个凸优化matlab工具箱，可以快速求解凸优化问题，具有很好的效果(A convex optimization matlab toolbox, you can quickly solve the convex optimization problem, with very good results)

this code is used to determine the parameters of johnson distribution for its bounded distribution .

The function femTriangularMeshGenerator() generates triangular mesh for a rectangular shape structure for Finite Element analysis. The outputs are: coords = x and y coordinates of each element nodes cT = nodal connectivity nNodes = Number of nodes The inputs are: Lx = width of the rectangular structure Ly = Height of the rectangular structure Nx = Number of divisions on x- axis NE = Number of elements The example generates 144 elements for a rectangular structure given a dimension 10units by 10units with respect to 8 divisions on x-axis.

用GA训练BP网络的权值、阈值从而优化神经网络(GA training BP network with the right value, the threshold in order to optimize the neural network)