MatlabNonlinear-Programming

使用下面的参数设计信道均衡器，其中使用两个独立的随机数发生器，一个用x(n)来表示，用来测试信道；另一个用v(n)来表示，用来模拟接收器中的加性白噪声的影响。序列x(n)是x(n)=±1的伯努利序列，随机变量x(n)具有零均值和单位方差。第二个序列v(n)具有零均值，其方差由信噪比决定。均衡器有11个抽头。(Use the following parameter design of channel equalizer, which uses two separate random number generator, one with x (n) to indicate, to test the channel the other with v (n) to indicate to simulate the receiver in The additive white noise. Sequence x (n) is x (n) = ± 1 of the Bernoulli sequence of random variable x (n) with zero mean and unit variance. The second sequence v (n) has zero mean, its variance decision by the signal to noise ratio. There are 11-tap equalizer.)

基于Microsoft Visual Basic的蒸汽养护计算机控制系统，并通过MATLAB仿真软件Simulink对模糊PID控制系统进行仿真。(Microsoft Visual Basic-based computer control system of steam curing, and simulation software MATLAB Simulink through the fuzzy PID control system simulation.)

optimization algorithm sce

A Fragile Watermarking Scheme for Image Authentication with Tamper

说明：  《精通MTLAB最优化计算》第13章 粒子群优化算法 源码(&quot The most proficient MTLAB Optimization&quot Chapter 13 Particle swarm optimization algorithm source code)

显示图像，估计图像背景，直方图均衡化，二值化等基本操作(show figures,estimate background of figure)

smart antenna. WS=Z where Z=[1 0 0..]T & S is the stearing vector.Find W? STEP1:Input Number of Array Elements, The Separation Distance Between Elements, The Operation Frequency, The Angle of Incidence of The Desired Source Signal , The Angle of Incidence of The Interference Un-Desired Source Signals Respectively, The Angle of Incidence of the Undesired Interference Source Signal STEP2: Estimatie The Weight Vector of A Null Steering Beamformer STEP3:Inverse of Steering Beamformer STEP4:Find Weights Vector by using equation W=S-1ZT STEP5:Plot

matlab图论工具箱,很全很好很简单.matlab图论工具箱,很全很好很简单(matlab toolbox for graph theory)

仿真12脉冲直流提调速系统之五，12脉冲整流matlab仿真(Simulation 12 pulsed DC mention the speed control system of five, 12-pulse rectifier matlab simulation)

说明：  十大经典的机器学习算法--EM算法的MATLAB实现(Ten classic machine learning algorithms--EM algorithm MATLAB realization)