chaokuandai

说明：  最近看到有人提问怎样用FFT实现频谱分析，我认为能够进行到频谱分析的人，对于系统研究的深度基本上已经相当不错了。本人今天做了一个例程，发给大家参考一下。 历程主要内容(signal_analyzer.rar)如下： test1.txt 第一列为时间t，0.001s为步长；第二列为系统的输入信号；第三列为系统的输出信号。 signal_analyzer.m首先将test1.txt 的数据读入workspace，然后进行FFT，分析出两信号的频率，输出对于输入的幅值衰减（db），输出对输入的相位差。(The question was asked recently to see the realization of how to use FFT spectral analysis, I think that spectral analysis can be carried out to those who study the depth of the system basically is already quite good. Today I made a routine, distributed to Members for reference. The main contents of the course (signal_analyzer.rar) are as follows: test1.txt the first time as t, 0.001s for the step the second as the system input signal the third as a system output signal. signal_analyzer.m first test1.txt data read into workspace, and then proceed to FFT, analysis of the two signal frequency, output amplitude for input attenuation (db), the output of the input phase difference.)

matlab 光线补偿 有照片 可以自己验证一下(matlab photo light compensation can verify their own)

主要用于产生在一个窗口出现四个图像的简单程序，用以学习资料(Is mainly used to produce four images appear in a window of simple procedure, used to learning materials)

白噪声经过AR模型的输出作为LMS滤波器的输入，已知：a1=1.558；a2=-0.81；白噪声方差为1.0，均值为0；u＝0.002；利用Matlab实现：(White noise as the input of the LMS filter after the output of the AR model known: a1 = 1.558 a2 =-0.81 white noise variance of 1.0, an average of 0 u = 0.002 using Matlab:)

MATLAB整流器仿真，采用三电平结构，实现单位功率因数输入。(MATLAB rectifier simulation, using a three-level structure to achieve unity power factor input.)

Matlab 矩阵的常用命令总结，供检索或快速查找用。(Matlab matrix summary of commonly used commands for quick retrieval or search by.)

说明：  matlab与 人工神经网络2007 配套源程序(matlab and artificial neural network supporting source, 2007)

说明：  程序用来识别破损的物体，并标注显示。比如在一堆球形的物体中有非球形的物体，可以方便的检测出来，并显示位置(Procedures used to identify damaged objects, and label display. For example, in a pile of spherical objects in non-spherical objects can be easily detected, and the display position)

Simulates the movements of a swarm to minimize the objective function

仿真实现了伪随机码的产生过程,包括m序列，C/A码以及金码等(simulation of pseudo-random code)