lorentz

离散傅立叶变换法实现瑞利衰落信道 参考文献The Generation of Correlated Rayleigh Random Variates by Inverse Discrete Fourier Transform(The Generation of Correlated Rayleigh Random Variates by Inverse Discrete Fourier Transform)

最小方差无畸变波束形成，常用的常规波束形成方法(Minimum variance distortionless beam forming, common conventional beamforming method)

说明：  模型降阶方法 MATLAB schur方法(Using matlab to program the control system )

说明：  按FPE定阶的 源程序：fpe.cpp M序列：M序列.txt 白噪声：Gauss.txt 程序中先用依模型阶次递推算法估计模型的参数，再用fpe方法判断模型的阶次。 程序运行结果如下： n: 1 判断阶次FPE的值: 0.0096406 -0.481665 1.07868 n: 2 判断阶次FPE的值: 0.00875755 -0.446739 0.00498181 1.07791 0.0527289 n: 3 判断阶次FPE的值: 0.0087098 -0.459433 0.120972 -0.0569228 1.07814 0.0390757 0.116982 n: 4 判断阶次FPE的值: 0.000396884 -0.509677 0.4501 -0.200906 0.0656188 1.07991 -0.0156362 0.442989 0.0497236 n: 5 判断阶次FPE的值: 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771 n: 6 判断阶次FPE的值: 3.23349e-007 -1.14659 0.76933 -0.487651 0.329676 -0.10377 -0.00440907 1.07999 -0.703574 0.447253 -0.235282 0.113587 0.00479688 从以上结果可以看出，当n=5时，fpe值最小，所以这时的模型阶次和参数估计值为最优结果： 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771(err)

Its a MATLAB code.....

This code to generate channel tap delay

永磁同步电机的弱磁控制，主要是研究研究永磁同步电机的控制(weak-flux)

一个多目标跟踪的matlab代码，里面附有说明文档。其中背景差分法可以实现实时更新。该代码在检测与跟踪少量目标时效果很好，但是跟踪目标大于8后，效果下降很多(A multi-target tracking matlab code, which accompanied by a document. One of the background difference method can achieve real-time updates. The code detection and tracking at the time a small number of very good goal, but follow-up after the goal is greater than 8, the effect of decline in a lot of)

MIMO技术的基本程序包，包含四个子程序，SIDO,SIMO,SISO,MIMO(Vblast),是MIMO初学者的理想进阶资料(MIMO technology, the basic package, includes four subroutines, SIDO, SIMO, SISO, MIMO (Vblast), is ideal for beginners and advanced MIMO data)

ex5_11 频率采样技术：低通，朴素法 ex5_12 频率采样技术：低通, 最优法T1 & T2 分别用朴素法和最优法，并且在时域和频域进行比较。(ex5_11 sampling frequency: low-pass, a simple method ex5_12 sampling frequency: low-pass, optimal method T1 & T2, respectively, and the optimal use of a simple law, and in time domain and frequency domain comparison.)