simulink_labs

本程序为基于RBF神经网络上界自适应学习的滑模控制，适用于实际无法测量上界值的情况。(This procedure is based on the RBF neural network to learn the upper bound of adaptive sliding mode control, can not be applied to the actual measurement of the upper bound values.)

数字信号处理清华大学出版社第二版 课本matlab源码(Digital Signal Processing, Tsinghua University Press, second edition of the textbook matlab source)

huffman source coding

小波包分析提取振动信号中的特征频率，D-S证据理论数据融合，能量熵的计算。( Wavelet packet analysis to extract vibration signal characteristic frequency, D-S evidence theory data fusion, Energy entropy calculation.)

说明：  对于道路上来往的车辆进行检测，程序可以用于车辆防撞系统。(For road traffic on the detection, the procedure can be used for vehicle collision avoidance system.)

先将压缩包解压缩到一个新文件夹中，改变matlab当前执行目录，然后运行WiFi.mdl文件。 压缩包中包括6个文件：WiFi.mdl，WiFi_lib.mdl，WiFi_init.m，cck_codes.mat，ber_test.m，test_level_1.m。 模型使用标准：IEEE Std 802.11b-1999, 来源于: http://standards.ieee.org/reading/ieee/std/lanman/ ">

说明：  通过均衡器的RLS算法在MATLAB中实现消除传输信道的噪声干扰。(Through the equalizer in the RLS algorithm in MATLAB to achieve elimination of the transmission channel noise.)

多轴车辆全轮转向转向中心位置，转角比例以及最优控制反馈矩阵求法。(All-wheel steering)

一个单位负反馈系统的根轨迹法超前校正。可直接在matlab中打开并运行。(A negative feedback system unit root locus method leading correction. Directly in matlab open and run.)

卡尔曼滤波器是一个对动态系统的状态序列进行线性最小误差估计的算法，一般用于线性系统。一般在运动跟踪领域中摄像机相对于目标物体运动有时属于非线性系统，但由于在一般运动跟踪问题中图像采集时间间隔较短，可近似将单位时间内目标在图像中的运动看作匀速运动，采用卡尔曼滤波器可以实现对目标运动参数的估计。(Kalman filter is a state sequence of linear dynamic systems smallest error estimation algorithm for linear systems in general. Usually in the field of motion tracking camera motion with respect to the target object may belong to nonlinear systems, but in general due to motion tracking problems shorter image acquisition time interval, a unit of time can be approximated to the target motion in the image is regarded as uniform motion, Kalman filter can achieve the target motion parameter estimation.)