Signal-Detection-and-Estimation

基于MATLAB的微粒群工具箱，算法模型中引入收缩因子，收敛速度有所提高，但对高维函数的优化效果仍然不理想。(based on MATLAB Toolbox PSO algorithm model introduced shrinkage factor, convergence rate increase, but for high-dimensional optimization function effects are still not ideal.)

经典MUSIC测向算法的编程，对于初学者会很有用的。(a code of MATLAB for classical MUSIC algorithm, which is useful for new.)

线性方程组的cg解法matlab，可以用于cg方法来计算线性方程组(Cg solution of linear equations matlab)

Introduction to matlab at MIT 麻省理工大学的matlab基本教程(Introduction to matlab at MIT Massachusetts Institute of Technology University of basic tutorial matlab)

matlab例程MATLAB 6.x版的内建数据类型（Built-in data type）就有5种以上，此外还有许多其他专门设计的类（Class），如符号类、内联函数类、控制工具包中的线性时不变模型类、神经网络类等。就程序设计而言，MATLAB 6.x版采用了面向对象编程技术。数据和编程的改变使用户能更简捷而自然地解决复杂的计算问题（如符号计算问题、多变量控制系统问题、神经网络问题）。本章内容根据MATLAB6.5编写，但绝大部分内容适用于其他MATLAB6.x版本。(Matlab routines MATLAB 6.x version of the built-in data types (Built-in da ta type) have more than five, in addition to many other specialized design category (Class). If symbol, which together function category, tool kits control the linear time-invariant model type, neural network type. On the design process, using MATLAB 6.x version of the object-oriented programming technology. Programming and data changes so that users can more simple and natural solution to the complex calculation (as symbolic computation, multivariable control systems, neural networks). According to the contents of this chapter MATLAB6.5 preparation, But most of what applies to other MATLAB6.x version.)

此书籍完整归纳了matlab从基础到高级应用的常用源代码，是一本不可多得的学习matlab的电子书籍。(This book summarizes the complete matlab from basic to advanced applications commonly used source code, is a rare study matlab e-books.)

zernike矩的源代码，非常不错，用matlab编的，值得下载(zernike moments of the source code, very good, with matlab code, it is worth downloading)

matlab开发的元胞自动机交通流仿真程序(matlab traffic program)

ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model - matrix with model points, data - matrix with data points, OUTPUT: R - rotation matrix and T - translation vector accordingly so newdata = R*data + T . newdata are transformed data points to fit model see help icp for more information (ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model- matrix with model points, data- matrix with data points, OUTPUT: R- rotation matrix and T- translation vector accordingly so newdata = R*data+ T . newdata are transformed data points to fit model see help icp for more information )

采用多种方式的调制技术，在通信中具备抗干扰，抗多径等各种功能。(Modulation technique using a variety of ways, in communication with jamming, anti-multipath and other functions.)