well_1

使用k-means算法对样本空间中的未分类的点进行聚类。(K-means algorithm using the sample space clustering unclassified points.)

机器人的PID控制之确定性单臂机械手的PD+前馈控制（先进进PID控制MATLAB仿真第二版），已通过测试。 (PID control of robot uncertainty arm manipulator PD+ before feed-forward control (Advanced PID Control MATLAB simulation), has been tested.)

空时自适应处理（全自由度），包括杂波谱图仿真，最优处理器仿真图等(Space-time adaptive processing (all degrees of freedom), including the clutter spectrum simulation, optimal processor simulation diagrams)

MATLAB工具箱函数，适合于凸优化计算，CVX，使用简单，应用广泛(MATLAB toolbox function, suitable for convex optimization, CVX, easy to use, widely used)

Unitire轮胎模型与滑移率的Simulink模型(Simulink Model of Unitire Tire Model and Slip Rate)

Characteristics of the closed one-dimensional object

1、系统仅处于训练状态。训练序列为2cos(2π×f1×n/fs)， 干扰为sin(2π×f2×n/fs)；序列长度为100个样点。 其中n=0…99，f1=1kHz，f2=2kHz，fs=8kHz。 2、采用LMS算法，均衡器输入为训练序列加上干扰，均衡器阶数为21阶，步长因子β=0.01。 3、在Matlab中编写浮点LMS算法，绘制均衡器的输出波形，并与训练序列进行对比。 (1, the system only in the training status. The training sequence is 2cos (2πf1n/fs), interference sin (2πf2n/fs) sequence length of 100 samples. Where n = 0 ... 99, f1 = 1kHz, f2 = 2kHz, fs = 8kHz. 2, using LMS algorithm, the input to the equalizer training sequence plus interference equalizer order is 21 bands, step factor β = 0.01. 3, the preparation of the floating-point LMS algorithm in Matlab, draw the output waveform equalizer, and with the training sequence comparison.)

EDGE PRESERVING SMOOTHING

说明：  采用2发1收的MISO—OFDM系统，对STBC／ SFBC／STFBC在不同的频率／时问选择性信道环境下进行了性能仿真比较。(A comparison of STBC，SFBC and STFBC has been conducted under the different frequency／time seleetive fading channel by using two by one MISO—OFDM system．)

实现BUCK电路参数辨识，误差小于百分之二(Buck Circuit identification)