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基于QR分解的总体最小二乘方法 基于Matlab的程序(QR decomposition based on total least squares method)

说明：  应用MATLAB的M文件编程方法过行信号频域分析。分别用矩阵运算的方法计算方波的DFS，在60的时窗宽度上方波宽度分别为5与12。并且画出x(n)和DFS(x(n))的杆状图。(Application of MATLAB M-file programming off-line signal frequency domain analysis. Were calculated using matrix calculation of square wave of DFS, in the 60' s when the window width the width of the top of wave 5 and 12, respectively. And draw the x (n) and DFS (x (n)) of the rod-shaped graph.)

DPSK系统的调制解调仿真，包括原理以及源代码和仿真结果，十分完整，包含了DPSK的相干解调，非相干解调，有自己的许多心得，希望对初学者有帮助(Modulation and demodulation of DPSK system simulation, including schematics and source code and simulation results, very complete, contains DPSK coherent demodulation, non-coherent demodulation many experiences, hope helpful for beginners)

This tutorial is intended for those who want to learn basics of MATLAB programming language. Even with a limited knowledge of this language a beginning programmer can write his/her own computer code for solving problems that are complex enough to be solved by other means. Numerous examples included in this text should help a reader to learn quickly basic programming tools of this language. Topics discussed include the m-files, inline functions, control flow, relational and logical operators, strings, cell arrays, rounding numbers to integers and MATLAB graphics.

Beam Analysis Matlab Codes

通信原理课程的实验，接收机模型。模拟了最佳接收机模型的建立，高斯噪声(Communication- Receiver in matlab.)

交流伺服系统控制方式，模糊PID方面的，讲的比较详细(AC servo system control, fuzzy PID' s, speak in more detail)

干扰信号的灰色估计仿真程序及分析，属于灰色估计理论基础(Gray estimated interference signal simulation program and the analysis, estimation theory is the basis of gray)

matlab code for beging cc motor...

说明：  通常，非线性整数规划是一个具有指数复杂度的NP问题，如果约束较为复杂，Matlab优化工具箱和一些优化软件比如lingo等，常常无法应用，即使能应用也不能给出一个较为令人满意的解。这时就需要针对问题设计专门的优化算法。下面举一个遗传算法应用于非线性整数规划的编程实例，供大家参考！(Generally, nonlinear integer programming is a NP problem with exponential complexity. If the constraints are more complex, MATLAB optimization toolbox and some optimization software such as lingo are often unable to be applied, even if they can be applied, they cannot give a satisfactory solution. At this time, we need to design a special optimization algorithm for the problem. Here is an example of genetic algorithm applied to nonlinear integer programming, for your reference!)