duochiduxiaobodebianyuanjiancesuanfa

说明：  信号源仿真，信号成型，4QMA调制，QPSK，阵列信号接收(source simulation，Signal shaping ，4QAM,QPSK，array signal receive)

Face Recognition Using Kernel Direct Discriminant Analysis Algorithms and Matlab source codes for the kernel direct discriminant analysis (KDDA) (Face Recognition Using Kernel Direct Disc riminant Analysis Algorithms and Matlab sourc e codes for the kernel direct discriminant anal ysis (KDDA))

遗传算法matlab编写，内附程序部分说明与本人学习笔记(Genetic algorithm matlab prepared, containing a description of the program with some of my study notes)

逆变器使用的svpwm脉冲simulink仿真，脉冲和桥臂开关对应顺序已经注明。(Svpwm pulse inverter using simulink simulation, pulse, and bridge arm switches corresponding order has been noted.)

根据已给ecg数据文件，画出心电图波形，并自动标记出特征点位置，并计算P-R时间间隔 等参数。 附件是.dat为数据文件，为二进制文件，每2个字节代表一个采样点，采样频率1000hz。依 次为1-12导联的第一个采样点，其次是1-12导联第二个采样点，.... .hea头文件是文本格式说明文件，可以看到十二导联存放的先后顺序。 (According to the data file has to ecg, draw the ECG waveform, and automatically mark the feature points, and calculate parameters such as PR interval. The attachment is. Dat for data files, binary files, each 2 bytes represent a sampling point, the sampling frequency 1000hz. Followed by a 1-12 lead in the first sampling point, followed by 1-12 second sampling point lead ,..... Hea header file is a text file format that you can see the sequence)

matlab 解决声波信号的时域及频域的处理(Matlab basic waveform of the sound processing, including time domain, frequency domain analysis ...........................)

madhirar1988年的关于桩网复合地基模型的计算程序(madhirar1988 year on net composite pile foundation model calculation program)

通过编写C语言，在MATLAB上实现路由器仿真,实现路由器的功能。(Written by C language, simulation on MATLAB implementation routers, realize the function of the router. )

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.

An useful book for matlab programmers