模糊C均值聚类算法

VC运算速度较快，相对于matlab而言，编程较为烦琐，而matlab编程灵活，并且方很多工具箱，使用极为方便，但是matlab的M语言编写的仿真程序的仿真速度相对较慢。 C-MEX函数是基于C语言编写的C与matlab接口函数，是matlab应用程序接口的一个重要组成部分。通过它不但可以将现有的C语言编写的程序轻松地引入到matlab环境中使用，避免了重复的程序设计，而且可以使用C语言为matlab定制用于特定目的的函数(如为了保护算法设计等)， 以完成在matlab中不易实现的任务。此外，更重要的一点，使用C语言编写的C-MEX函数可以有效地提高M灯matlab环境中数据处理速度和效率。 (VC computing faster, compared to matlab, the program is more cumbersome, but matlab programming flexibility, and a lot of side toolbox, use very convenient, but the M-language matlab simulation program written in a relatively slow simulation speed. C-MEX function is based on the C language interface written in C and matlab functions matlab application interface is an important component. It can not only be through the existing programs written in C language easily introduced into the matlab environment, to avoid the duplication of programming, and can be customized using the C language for matlab functions for specific purposes (such as algorithm design, etc. in order to protect ), Matlab in order to complete the task is not easy to achieve. In addition, more importantly, the use of C language written in C-MEX function can effectively improve the M light matlab environment, data processing speed and efficiency. )

北邮通信仿真教程第10章的源程序，教程网上可以搜到，程序包括BPSK,QPSK的调制解调，载波同步，误比特率的计算等。(Beijing University of Posts and Telecommunications Communication Simulation Guide to Chapter 10 of the source, the Guide can be found online that included BPSK, QPSK modulation and demodulation, carrier synchronization, bit error rate calculation.)

说明：  本代码编译环境为matlab，利用bp神经网络实现了建筑能耗预测，精度高，可扩展性好(This code the compiler environment Matlab, realize the building energy consumption prediction, by using the BP neural network has high precision, good scalability )

matlab计算曲率，包括主曲率，高斯曲率和平均曲率的计算方法，测试可用。(matlab computing curvature calculation methods including principal curvatures, Gaussian curvature and mean curvature of the test are available.)

基于boosting的人脸检测的matlab实现(Boosting-based face detection matlab implementation)

Chapter 2. The Solution of Nonlinear Equations f(x) = 0 Algorithm 2.1 Fixed Point Iteration Algorithm 2.2 Bisection Method Algorithm 2.3 False position or Regula Falsi Method Algorithm 2.4 Approximate Location of Roots Algorithm 2.5 Newton-Raphson Iteration Algorithm 2.6 Secant Method Algorithm 2.7 Steffensen s Acceleration Algorithm 2.8 Muller s Method Algorithm 2.9 Nonlinear Seidel Iteration Algorithm 2.10 Newton-Raphson Method in 2-Dimensions

MATLAB作图教程全 适应初学者 基本编程方法(The MATLAB the mapping tutorial full adaptation beginners)

script that downloads, converts and saves from a webpage using Matlab

windows版memcache安装及应用(installation and application windows version memcache)

Hamming 15, 11 Viterbi encoding and Decoding