socefficient2

说明：  二次型准牛顿BFGS 公式,用于计算非线性函数(second type quasi-Newton BFGS formula used to calculate the nonlinear function)

求二维三维等高线,立体图的很好用的程序，也可帮助画四维图。(Seeking 2D and 3D contours, three-dimensional map of the good use of the program can also help draw four-dimensional map.)

雷达信号的基本模型，高斯分布，几何分布，求信号的概率分布，概率密度函数，功率谱函数，自相关函数等等(The basic model of the radar signal, Gaussian distribution, geometric distribution, the probability distribution for the signal, probability density function, power spectrum, the autocorrelation function, and so)

说明：  120多个用MATLAB编写的信号处理程序，它们是本书各个章节的大部分例题。用MATLAB编写的程序的名称由“exa”开头，接下来是所在的章、节及例题的序号，如exa010101,指的是第1章第1节（即1.1节）的第1个例题，即例1.1.1。如果该程序是为了说明某一个m文件的应用，则在上述名称的后面跟一个下划线，再在后面加上所说明的MATLAB文件的名称，如exa011001_rand，即是例1.10.1,该例用来说明rand.m文件的应用。(More than 120 signal processing programs written in MATLAB are most of the examples in each chapter of this book. The name of the program written in MATLAB begins with "exa", followed by the ordinal number of the chapters, sections and examples, such as exa0101, which refers to the first example of chapter 1, section 1 (i.e. section 1.1), namely example 1.1.1. If the program is to illustrate the application of an M file, then follow the above name with an underscore, and then add the name of the MATLAB file, such as exa011001_rand, which is Example 1.10.1. This example is used to illustrate the application of rand.m file.)

使用matlab编写的瑞利信道的仿真，使用了simulink，在多普勒经典谱(Write the Rayleigh channel using matlab simulation, using simulink, in the classical Doppler spectrum)

Generation of room impulse genration with thiran filter

一维和二维阵列天线FFT分析，对不同间距的均匀阵列做了详细处理(1D and 2D array antenna analysis with FFT, and dealt with different inter-element distance.)

脉冲控制多智能体一致性论文和实例仿真仿真(Pulse Control Multi-Agent Consistency Paper + Simulation)

应用matlab/simulink 对汽车自动离合器进行控制仿真(applying the matlab/simulink to simulate the automated clutch of vehicle)

阻尼牛顿法求解minf(x)=(1-x1)^2+2*(x2-x1^2)^2初始点x=(0,0)精度为0.01。可运行出结果,程序清晰,算法明确。(Damped Newton method for solving min f (x) = (1-x1) ^ 2+2* (x2-x1 ^ 2) ^ 2 the initial point x = (0,0) accuracy of 0.01.It Can run out the results 。 the program is clear, algorithm is explicit. )