fft-sample

此程序为带有误差跟踪功能的DMC控制，能有效的控制跟踪误差输入(This procedure with the DMC error tracking control, which can effectively control the tracking error input)

一个基于PCA_Nicolas的matlab编程，可以实现人脸识别的功能(Based on PCA_Nicolas of matlab programming, face recognition function can be achieved)

matlab的一些优化函数说明 我们学校用的。。应该不错(matlab optimization function shows some of our school use. . Should be good)

this is matlab code that in it the pid method linear control is developed.the equation of motion is solved with runge-cuta method.

DividePlane：用割平面法求解整数规划 (DividePlane: by cutting plane method for solving integer programming)

project in matlab about polyonyms

matlab电力系统潮流计算源程序和说明(The source and description of matlab power system load flow calculation)

LIVRE_Automatique-Systemes-linaires-non linEAires

FDTD算法资料 天线与微波学习 适合学习教材(FDTD algorithm information for antenna and microwave study learning materials)

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.)