BlindSeparation

振动工具箱，用于机械振动理论的学习与基于matlab的编程(Vibration toolbox for mechanical vibration theory of learning and programming based on matlab)

Quadrature Amplitude Modulation (QAM）在MATLAB的仿真和应用(Simulink-based Simulation of Quadrature Amplitude Modulation (QAM)

说明：  利用crank nicholson法 解一維熱傳PDE(Using crank nicholson method for solving a PDE-dimensional heat transfer)

无香粒子滤波的一个matlab例程，其中有ekf,ukf,pf,upf(In these demos, we demonstrate the use of the extended Kalman filter (EKF), unscented Kalman filter (UKF), standard particle filter (a.k.a. condensation, survival of the fittest, bootstrap filter, SIR, sequential Monte Carlo, etc.), particle filter with MCMC steps, particle filter with EKF proposal and unscented particle filter (particle filter with UKF proposal) on a simple state estimation problem and on a financial time series forecasting problem. The algorithms are coded in a way that makes it trivial to apply them to other problems. Several generic routines for resampling are provided. The derivation and details are presented in: Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas and Eric Wan. The Unscented Particle Filter. Technical report CUED/F-INFENG/TR 380, Cambridge University Department of Engineering, May 2000. After downloading the file, type "tar-xf upf_demos.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this di)

说明：  MATLAB编程教材，从基础讲起，让你一步步进入到MATLAB的世界~(matlab programing tutorial)

说明：  有详细说明的手编模拟退火法及其示例，为TXT文件，复制到指定M文件即可运行(Detailed description of the hand for example, simulated annealing and for the TXT file, copy the file to run the specified M)

PID control of DC motor using simulink matlab

利用MATLAB实现的最小包围矩形算法，精简实用(MATLAB implementation of the minimum bounding rectangle algorithm)

matlab仿真两种目标类型在积累和不积累下的情况(matlab simulation of two target types accumulation and accumulated under)

用MATLAB编写的RBF神经网络程序，能够逼近任意的非线性函数，可以处理系统内的难以解析的规律性.(Using MATLAB RBF neural network program that can approximate any nonlinear function that can handle difficult analytic regularity within the system.)