waveletanalysis

实现一个初始结点为3，最终结点为N的无标度网络，输出数据位邻接矩阵(It s out is a adistance matrix of a free-scale network which initial points is 3 and final points is N )

Image restoration using Weiner Filter

mass spring damper example using simulink block diagram

针对H无穷大控制，附加Matlab程序，进行解说，英文原文(For H infinity control, additional Matlab procedures explained, the original English text of)

MATLAB命令大全，收录庞大的MATLAB命令，令你在进行数值分析计算时更加方便(MATLAB command Daquan, contains a large MATLAB commands, so that you are going through is more convenient for numerical analysis and calculation)

在这里，被控量是小车转角，向上回朔是舵机的转角，再向上就是用来控制舵机的PWM波的占空比，也就是说你的被控量是PWM波的占空比；一旦你的 舵机安装方式确定后，小车前轮的左右极限转角也就定死了，也就是说你的PWM波的占空比的变化范围也就确定了，即被控量的论域确定了，以我的为 例是1225到1725，显然S12的模糊机无法直接输出这么大的数值，在此对于输出量的隶属度函数我选用的是单值的，对应9个等级（0-8），即对应9个 PWM占空比值，即对应9个角度值。模糊语言等级、输出等级以及实际PWM占空比值的对应关系如下。 (Themohu function is used in mainly control applications. PIDCalc performs one iteration of the PID algorithm. While the PID function works, main is just a dummy program showing a typical usage.)

说明：  虚拟信号发生器是一个GUI产生（1）周期函数（包括正弦，三角，锯齿，和方波）不同振幅，频率和阶段 （2）不同振幅平方脉冲序列，频率，分期及职责循环 （3）双参数指数函数 （4）高斯曲线之间的范围不同，标准偏差和手段，以及（5）不同幅度的高斯噪声。你也可以添加一个偏移或高斯噪声的前四个以上任何职能。图形用户界面还能使用户可以添加指定的信号（或者乘以它的）一个先前定义的信号。 (Virtual Signal Generator is a GUI that produces (1) periodic functions (including sinusoidal, triangle, sawtooth, and square waves) of varying amplitudes, frequencies, and phases (2) square pulse trains of varying amplitudes, frequencies, phases, and duty cycles (3) two-parameter exponential functions (4) Gaussian curves of varying bounded areas, standard deviations, and means and (5) Gaussian noise of varying amplitude. One can also add an offset or Gaussian noise to any of the first four functions above. The GUI also enables the user to add the designated signal to (or multiply it by) a previously defined signal. )

房间温度恒定，用卡尔曼滤波实现对房间温度的估计(Room temperature is constant, the Kalman filter implementation on an estimate of the temperature of the room)

一种改进的基于模拟退火的粒子群算法(SimPSO)。将模拟退火算法的思想引入粒子群算法中,并对更新公式进行优化(An improved particle swarm optimization algorithm based on simulated annealing (SimPSO). The simulated annealing algorithm is introduced into the particle swarm optimization algorithm, and the updating formula is optimized.)

this is a simple version of PRMA algorithm, a shared medium access protocol.