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matlab在工程数学中的应用，基础教程(matlab in Maths Engierring)

基于SimMechanics的刚体系统建模gears的案例(SimMechanics modeling)

本代码主要提供了在频域使用fastica进行盲源分离，并且解决了频域的排列和增益两个歧义性问题。(This code mainly provides the use of fastica in the frequency domain for blind source separation, and solves the frequency domain arrangement and gain of two ambiguity problems.)

1.题目：数字滤波器的设计与应用 2.设计要求：利用 Matlab 软件,以复合信号分离为例,对 “数字信号处理” 课程中 的谱分析 、数字滤波器设计和信号滤波这三个过程进行了仿真实现,给出了仿真结果。 3.具体步骤： （1）构造原始信号s(t) （2）画出s(t)的频谱 （3）设计ellipse数字滤波器(IIR)，包括低通，带通，带通，并显示幅频特性 （4）用得到的滤波器进行滤波，分离出三路信号，观察时域波形和幅频特性 （5）用三路信号s1,s2,s3尝试重新合成原始信号 4.问题：为什么重新合成的信号和原信号不相等呢？谁能解释一下？谢谢,QQ:664519036( 1. Title: Digital Filter Design and Application 2. Design requirements: use of Matlab software to composite signal separation, for example, on "Digital Signal Processing" course Of the spectral analysis, digital filter design and signal filtering process carried out three Simulation, the simulation results. 3. Concrete steps: (1) construct the original signal s (t) (2) Draw s (t) of the spectrum (3) design ellipse digital filter (IIR), including low pass, band pass, band pass, and shows amplitude-frequency characteristics (4) filtering with a filter obtained by the isolation of three signals, observed time-domain waveform and frequency characteristics (5) with a three-way signal s1, s2, s3 try to re-synthesis of the original signal 4. Question: Why is re-synthesized signal and the original signal is not equal to it? Who can explain? Thank you, QQ: 664519036)

MIMO 最优天线选择算法，即穷举搜索方法(Optimal MIMO antenna selection algorithm,is also the exhaustive search method)

DMC的matlab实现,很实用的matlab代码(DMC s matlab realize, very practical matlab code)

Distribution Load flow with Mathlab

实现AM信号的输入以及相干解调前后的比较(The realization of the input AM signal, as well as compare before and after coherent demodulation)

试验数据处理的有效程序，对于模态分析很有效(Valid test data processing program, is very effective for modal analysis)

加速度时程曲线通过matlab经过频域积分变换为位移时程曲线(Acceleration time history curve matlab integral transformation of the frequency domain through the process curve displacement)