MATLABFIR

该压缩包包含计算l1范数的最优化问题及使l1还原数据(Computing l1 norm optimization problem)

BPSK调制，调制方法：BPSK，该程序只包含调制功能(BPSK MODULATION)

Fast video loading code do background subtraction subtracting all frames from first frame and show the result video so fast

短时自相关算法的matlab程序 可以参考下(Short-term can refer to the autocorrelation algorithm matlab program)

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)

说明：  一个关于小波的matlab复合分析算法（MRA），值得一看(one of the Matlab composite wavelet analysis algorithm (MRA), an eye-catcher)

matlab调用ansys的例子，适合初学者。(matlab call ansys example, suitable for beginners.)

Expedite the computationally intensive part of the mechanical analysis stage of a coupled electro-mechanical FEA of an electrostatically actuated micro-electro-mechanical (MEMS) device by using “parfor” to: 1. Compute Element Stiffness 2. Assemble global stiffness matrix (K) from element stiffness matrices 3. Assemble Force matrix (F)

这是一个Matlab实现的三逆变器的Simulink仿真。电流环反馈，pll环控制相位无偏差。(This is a Matlab implementation of the three inverter Simulink simulation. Current loop feedback, pll loop control phase without bias.)

The Akaike information criterion (AIC) is a measure of the relative quality of a statistical model for a given set of data. That is, given a collection of models for the data, AIC estimates the quality of each model, relative to each of the other models. Hence, AIC provides a means for model selection.