Interference-of-two-beams

全数字调制解调器MATLAB仿真源代码，超级实用，下载即可使用。(MATLAB simulation of an all-digital modem source code, super-utility, download to use.)

Code in matlab about processing signals

一阶直线双倒立摆系统的可控性研究 要求在SIMULINK上建立精确模型，并封装子系统（标准模块）(An order straight double inverted pendulum system controllability study)

一、穆勒矩阵构成 穆勒矩阵是一个4*4的矩阵，完整描述了介质的偏振属性。可通过水平线偏振光H、垂直线偏振光V，45°线偏振光P，右旋圆偏振光R入射，并分别探测水平线偏振光H、垂直线偏振光V，45°线偏振光P，右旋圆偏振光R出射情况下的能量值，即16种偏振态组合下的强度结果，HH/ HV/ HP/ HR，PH/ PV/ PP/ PR，VH/ VV/ VP / VR和RH/ RV/ RP/ RR。进而Mueller矩阵可按照公式（1）计算得到：(First, the Muller matrix The Muller matrix is a 4*4 matrix that completely describes the polarization properties of the medium. The horizontal line, vertical line polarized light polarized light H V, 45 degrees P linearly polarized light, right circularly polarized incident detection and R, respectively, H vertical horizontal line polarized light polarized light V, 45 degrees P linearly polarized light, right circularly polarized light R emitted under the condition of energy intensity results of 16 kinds of polarization combinations HH/ HV/, HP/ HR, PH/ PV/ PP/ PR VH/, VV/ VP and RH/ RV/ RP/ RR / VR. Furthermore, the Mueller matrix can be calculated according to formula (1):)

说明：  利用LSSVM对数据进行训练，然后可以进行分类和预测，包括LSSVM工具箱。(LSSVM is used to train the data, and then classification and prediction can be carried out, including the LSSVM toolbox.)

这是一个关于ASK的MATLAB的仿真程序。很好用啊 ！！！！！(ASK)

offline handwritten character recognition

详细的介绍了matlab中小波函数，对初学者有一定的帮助(A detailed description of the matlab wavelet function, there is some help for beginners)

Matlab中进行二维离散傅立叶变换,并显示频谱图的方法。(two version discreate Forier Transemation baced on MATLAB)

We see that HTH matrix is almost diagonal as the off diagonal elements are nearly zero. So we are getting exact estimation in case of PRN INPUT due to diagonality of HTH matrix. As seen that the unknown inpulse response ( h ) and estimated impulse response ( hth ) are coming out to be exactly same. The estimation even gets better for large N .as we get the HTH matrix perfect diagonal. So we come to know that we can estimate the unknown parameters exactly when PRN input is used.