matlab-entry-and-improve

利用matlab的m文件，仿真DPSK的差分相干解调法，从发送数据到接收数据，比较完整(Use matlab m files, simulation DPSK differential coherent demodulation method to send data to receive data from a relatively complete)

Zernike Polynomial Coefficients for a given Wavefront using Matrix Inversion in Matlab

matlab reference manual

读写器管理(RM)标准，读写器管理标准的相关说明。(Reader Management (RM) standards, reader management standards for instructions.)

说明：  本程序来自TI公司网站原程序,其功能是通过传统的矢量控制算法来实现对永磁同步电机的控制,矢量控制采用双闭环结构，内环为电流环，外环为速度环，其速度的获得是靠滑模自适应算法求得。是一个不可多得无速度传感器矢量控制例程。控制程序可以采用.asm也可以采用.C。程序的具体算法和介绍在软件压缩包有详细介绍！ (this program from the company's Web site TI program, its function is through the traditional vector control algorithm to achieve the permanent magnet synchronous motor control, vector control double-loop structure for the inner loop current loop, velocity loop to the outer ring, the speed was on sliding mode is obtained adaptive algorithm. It is a rare speed sensorless vector control routines. Control procedures can be taken. Asm also be used. C. The specific procedures and the introduction of the algorithm compression software packages are described in detail!)

GM_PHD_Filter Version 1.09, 13th December 2013 Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with: - some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/ - error_ellipse by AJ Johnson, taken from Matlab Central http://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipse Algorithm by Ba-Ngu Vo & Wing-Kin Ma in: B.-N. Vo, W.-K. Ma, "The Gaussian Mixture Probability Hypothesis Density Filter", IEEE Transactions on Signal Processing, Vol 54, No. 11, November 2006, pp4091-4104 This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper - in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.(GM_PHD_Filter Version 1.09, 13th December 2013 Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with: - some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/ - error_ellipse by AJ Johnson, taken from Matlab Central http://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipse Algorithm by Ba-Ngu Vo & Wing-Kin Ma in: B.-N. Vo, W.-K. Ma, "The Gaussian Mixture Probability Hypothesis Density Filter", IEEE Transactions on Signal Processing, Vol 54, No. 11, November 2006, pp4091-4104 This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper- in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.)

直角坐标转换到极坐标下代码，以图像中心为原点，水平向右为0°方向，顺时针旋转生成极坐标图像。(converts a given image from cartesian coordinates to polar coordinates.)

BER for OFDM using BPSK with 52 subcarriers using 64 IFFT.

系统辨识2仿真程序，含有系统辨识书中剩余3章的全部matlab的程序代码，可以供下载！(xitongbianshi2fangzhenchengxu)

Algorithme génétique NSGA-II