cic

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.)

用振幅为0.8的方波进行傅立叶分析，并用分析得到的系数求解当K取不同值时的合成信号( F = FOURIER(f) is the Fourier transform of the sym scalar f with default independent variable x. The default return is a function of w. This example is useful for the persons who learn sth about signal processing.)

系统辨识与自适应控制MATLAB仿真CH5,好东西大家分享(System Identification and Adaptive Control of MATLAB simulation of CH5, a good thing to share with you)

Ux profile in boundary layer

analyzes the power systems in normal steady-state operation. There exist a number of software implementations of power flow studies.

说明：  基于遗传算法与粒子群算法的相机标定程序，值得借鉴(The camera calibration program based on genetic algorithm and particle swarm optimization is worthy of reference)

tsp using genetic agorithm

编写了利用MATLAB计算任意桁架的静力分析，得到各杆的应力和各结点的位移，并画出变形前后的桁架图(The static analysis of arbitrary truss is made by using MATLAB, the stress of each rod and the displacement of each node are obtained, and the truss diagram before and after deformation is drawn)

说明：  ·Matlab加扰解扰仿真系统，可以观察加解扰前后信号的时域和频域波形，有助于理解扰码的概念和解扰的过程(scrambling and de-scrambling Matlab simulation system Encryption can be observed around the signals in time domain and frequency domain waveforms scrambler help understand the concept of the process and Descramble)

基于matlab的无刷直流电动机控制仿真，在simulink下建立系统模型(The brushless dc motor control system based on simulink simulation )