Communication-system

matlab中文文档帮助，适用于matlab初学者(Matlab help Chinese document, suitable for beginners matlab)

说明：  利用卡尔曼滤波、滑模观测器和锁相环实现无传感器控制，曲线效果比较合理(Sensorless control is realized by Kalman filter, sliding mode observer and phase-locked loop. The curve effect is reasonable.)

说明：  模式识别中的ISODATA算法，以及利用模式相似性测度分类的源程序(The ISODATA algorithm for pattern recognition and classification using pattern similarity measure of the source)

K nearest neighbor search for matlab

application of the averaging filter on image

fingerprint autneication

一个完整的OFDM系统的MATLAB仿真，有注解(simulation of OFDM system using MATLAB)

利用相关的瞬时值通过在工作过程中的逐步调整参数逼近信号的统计特性，实现最优滤波。由此，我们得到一种最常用的算法——最小均方算法，简称LMS算法。(By using the instantaneous value of the correlation operation of the progressive approximation of the statistical properties of the signal to adjust the parameters to achieve optimal filtering. Thus, we get one of the most commonly used algorithms- the minimum mean square algorithm, called LMS algorithm.)

非线性滤波的程序，里面包含扩展卡尔曼滤波和无迹卡尔曼滤波滤波，可应用于很多非线性系统(Nonlinear filtering process, which includes extended Kalman filter and unscented Kalman filter filtering can be applied to many nonlinear system)

useful resources in matlab