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Matlab toolbox that contains functions of Kalman filter and random system simulation.

matlab的一些插值和拟合算法， 包括最小二乘法等(matlab some interpolation and fitting algorithm, including the least squares, etc.)

2*2 mimo-ofdm系统的误码率测量。经过时不变信道(ber of 2*2 mimo-ofdm)

利用两幅图像对物体进行重建，基于计算机视觉的(two view reconstruction)

This Toolset comprises of the following files: 1) RunTutorial.m Runs and publish in html format the Tutorial.m file. 2) Tutorial.m A quick reference tutorial for the DE_TCR algorithm. 3) DE_TCRparam.m Generates the required parameters to run the DE_TCR algorithm. 4) DE_TCR.m Runs the optimization algorithm. This code implements a version of the DE_TCR algorithm described in: G. Reynoso J. Sanchis X. Blasco Juan M. Herrero. Hybrid DE Algorithm With Adaptive Crossover Operator For Solving Real-World Numerical Optimization Problems. In IEEE Congress on Evolutionary Computation. CEC 2011. (ISBN 978-1-4244-7833-0). New Orleans (USA). June 2011. 5) LocalSearch.m Runs the Local search routine. 6) CostFuntion.m The cost function to optimize

基于MATLAB和usb外置声卡的信号回检，检测信号频率，幅值，功率等。(Based on MATLAB and usb external sound card signal back to check, test signal frequency, amplitude, power, etc..)

粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域(Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), has Dr. Eberhart and Dr. kennedy invention. Deriving from the behavior of birds of prey PSO with genetic algorithm is similar to an iterative optimization-based tools. System initialization for a group of random solutions, through the iterative search for optimal values. But there is no cross-genetic algorithm used (crossover) and mutation (mutation). But the particles in the solution space of the particles to follow the optimal search. In detail the steps after the introduction sections compared with the genetic algorithm, PSO has the advantage of being simple and easy and did not realize many of the parameters need to be adjusted. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications)

模式识别分类器的设计，此为LMS法源码，经调试通过。所用数据为标准IRIS。(Pattern recognition classifier design, the source for the LMS method, adopted by the debugger. Data used as the standard IRIS.)

this is visuall c++ programmes to remove noise

MATLAB PROGRAM FOR FULL WAFE RECTIFIER