MMSE_SU_MIMO

使用Matlab访问excel的程序包。(Using this Program Matlab access Microsoft Office Excel.)

PID用于机器人路径控制的MATLAB程序,路径选择是一个简简单的正弦函数.控制参数是速度和角速度.，已通过测试。 (The MATLAB program PID control for robot path, the path selection is a sine function simply control parameters and angular velocities. Has been tested.)

卡尔曼算法用于系统逆辨识，代码通俗易懂易修改，通用性强有收敛曲线(Kalman algorithm for system inverse identification code easy to understand and easy to modify, versatility convergence curve)

水电机组仿真，发电机组采用菲利普斯描述。输出信号为有功功率和频率，适用于控制类电气仿真。(Hydro-generator simulation, the generator set described by Phillips. The output signal for the active power and frequency, suitable for control of electrical simulation.)

a simple method of pca. how to find mean and to normalize data

matlab multilink 包，用于matlab的计算和应用(matlab multilink)

MIMO系统误码率随接受天线数目变化而变化，MATLAB仿真程序，源代码(MIMO system bit error rate with the number of antennas to accept changes, MATLAB simulation program, the source code)

说明：  Turbo码QPSK调制的matlab仿真，可运行(Matlab simulation of Turbo code QPSK modulation, it can run)

CLP Interface to LP/QP solver MEXCLP

The Kalman filter is an efficient recursive filter that estimates the state of a linear dynamic system from a series of noisy measurements. It is used in a wide range of engineering applications from radar to computer vision, and is an important topic in control theory and control systems engineering. Together with the linear-quadratic regulator (LQR), the Kalman filter solves the linear-quadratic-Gaussian control problem (LQG). The Kalman filter, the linear-quadratic regulator and the linear-quadratic-Gaussian controller are solutions to what probably are the most fundamental problems in control theory.