LSFR.tar

说明：   捷联惯性导航的卡尔曼滤波 初始对准程序(SINS initial alignment procedure of Kalman filtering)

for learn matlab software

国外原版书籍，值得一看，注意不要扩散。尊重版权，尊重原创。(The foreign original books, worth a visit, and be careful not to spread. Respect copyright, respect for the original.)

说明：  在通信系统中的多天线选择技术，用MATLAB进行仿真，生产信噪比与误码率的图像。(MIMO)

Multi SVM Classifier Matlab Code

半不变量法随机潮流计算主程序 已验证 配合matpower使用(Random flow calculation the main semi-variable method is verified with the matpower use)

Metodo Runge Kutta per risolvere ODE

说明：  粒子群算法，也称粒子群优化算法是近年来发展起来的一种新的进化算法，该程序用matlab编写而成(Partical Swarm Optimization)

用于在3D投影显示中将投影立体图像进行预先的左右翻转。(Inverting the image laterally)

在计算机上产生一组实验数据，首先产生一段零均值白噪声数据u（n）,令功率为 ，让u(n)通过一个三阶FIR： 得到y(n). .y(n)上加三个实正弦信号f1’=0.1,f2’=0.25,f3’=0.26调整 和正弦信号幅度信噪比大致为10dB,50dB,50dB. (1) 令N=256,描绘xn波形； (2)得出真实功率谱密度 . (3) 利用此实验数据Pisarenko谐波分解法估计该实验数据的正弦频率及幅度。 (On the computer to generate a set of experimental data, first generate a zero mean white noise data u (n), so that power, let u (n) through a third-order FIR: get y (n).. Y (n) added three real sinusoidal signal f1 ' = 0.1, f2' = 0.25, f3 ' = 0.26 and sine signal amplitude adjustment signal to noise ratio is approximately 10dB, 50dB, 50dB. (1) that N = 256, depicted xn waveform (2) the true power spectral density obtained. (3) using this experimental data, Pisarenko harmonic decomposition method to estimate the experimental data of the sinusoidal frequency and amplitude.)