chpt4_25a

以下几个matlab程序对雷达常用的线性调频信号（lfm信号）进行脉冲压缩时的关键问题进行了仿真，其中包括旁瓣抑制影响（加窗与不加窗）、多卜勒频移影响，并对时域脉压与频域脉压结果进行了对比分析，供相关技术人员参考。(Matlab following procedures commonly used on the radar LFM signal (lfm signal) for pulse compression at the time of the key issues of simulation, including the impact of sidelobe suppression (plus a window with no window), the impact of Doppler frequency shift, time domain and frequency domain pulse pressure and pulse pressure results of comparative analysis of relevant technical personnel for reference.)

此算法为智能天线波束形成算法。为解括重括盲算法。(This algorithm for smart antenna beamforming algorithm. For the solution algorithm, including re-including the blind.)

MATLAB提供了各种曲线拟合方法，例如：Exponential, Fourier, Gaussing, Interpolant, Polynomial, Power, Rational, Smoothing Spline, Sum of Functions, Weibull等，当然，也可以使用 Custom Equations. cftool不仅可以绘制拟合后的曲线、给出拟合参数，还能给出拟合好坏的评价参数(Goodness of fit)如SSE, R-square, RMSE等数据，非常好用。但是如果我们已经确定了拟合的方法，只需要对数据进行计算，那么这种GUI的操作方式就不太适合了，比如在m文件中就不方便直接调用cftool。 (matlab has given a lot of method for curve combine ,we will give a new method and provide a matlab code.)

该程序是在flac下运行的，没找到flac，所以用matlab表示了，供岩土力学研究方向学习(The program is run under flac, did not find flac, so use matlab shows for rock mechanics research study)

MATLAB Compiler 是MATLAB自带的一个编译器，它能将m文件转化成 C、C++或p等各种类型的源代码，并根据需要生成可执行文件、lib文件（库文件）、dll文件或S函数?BR> [lms_communication(MATLAB comes with MATLAB Compiler is a compiler, it will be m file into C, C++ Or p, such as various types of source code, and in accordance with the need to generate executable files, lib files (library files), dll documents or S function? BR)

it is neural net work code

matlab 编程应用100例中的数值分析篇(matlab programming applications Numerical analysis of 100 cases articles)

application of Bayes detector and NP detector examples with matlab

pid自适应控制器学习和程序大家学习，很好用的(请求权)

C语言实现弗洛伊德路径搜索，同时为了提供接口，使用命令行方式给出原始矩阵地址，并且也已txt文本形式将结果保存。测试效果：一个需要在MATLAB中运行8秒的矩阵，在使用该程序时，总共只用了5秒（MATLAB初始化数据+调用该程序+该程序运行+返回至MATALB所用的时间）。而在MATLAB中使用该程序与调用函数相差不大。(C language Freud path search, and in order to provide an interface, use the command line gives the address of the original matrix, and also save results in text form txt. Test Results: A need to run 8 seconds in the MATLAB matrix, in the use of the program, a total of only 5 seconds (MATLAB initializing the program+ data+ call+ back to the program running time spent MATALB). In MATLAB, use the program with little difference between calling a function.)