to provide us with a white noise of data procedures Matlab

it is code for temporal feature extraction

very excellent 2 degree of freedom two link robot inverse kinematic. its graphically good.

利用RGB-IHS变换实现高分辨率图像和低分辨率图像的融合。(The use of RGB-IHS transformation to achieve high-resolution images and the integration of low-resolution images。)

A High Power Amplifier (HPA) Model known in the literature as SSPA model

本程序源码仿真了功率谱密度，供供有关人士下载学习 (The program source code simulation of the power spectral density for the download to learn for the person concerned)

 利用fft()进行快速傅立叶变换，得到频谱，画出正弦函数及其频谱  找出频谱中使得Y轴取最大值时的估计频率记为ft  加入白噪声，绘出信噪比和均方误差的关系曲线 ( using fft () for fast Fourier transformation, spectrum, to draw the sine function and its spectrum  find the spectrum makes the Y-axis maximum value when the estimated frequency is denoted by ft  adding white noise, SNR plot and mean square error curve)

illumination-robust face recognition via sparse representation

Matlab Code For Delta Modulation

可以实现ARQ的停止等待，go-back-n，选择重传的方式，并且可实现图形界面方便实时调整仿真参数，也有利于观察和可视化。(ARQ matlab code sw,gobackn,selective repeat)

粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years (Evolutionary Algorithm- EA). Kind, and simulated annealing algorithm PSO algorithm is similar evolutionary algorithms, it is also starting a random solution, through an iterative search for the optimal solution, which is also used to uate the quality through fitness solution, but it is simpler than genetic algorithm rules It has no genetic algorithm " crossover" (Crossover) and " variant" (Mutation) operation, which by following the current search to find the optimal value to the global optimum. This algorithm is its easy implementation, high accuracy, fast convergence, etc. attracted academic attention and show its superiority in solving practical problems. PSO algorithm is a parallel algorithm.)