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通信仿真： 利用Matlab实现的脉冲成型仿真(Communication Simulation : Matlab Pulse Forming Simulation)

This is the matlab code of filter bank design.

ECEF to WGS84 conversion

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.)

stanford大学deep learning在线课程课后练习代码，我自己写的，可以参考一下。(Excercise of deep learning online course from http://deeplearning.stanford.edu/wiki. It is written by myself, aiming to help other students who is confused in the course.)

直接转矩控制系统的研究与仿真，对异步电机进行直接转矩控制的matlab仿真(DTC)

封闭二维图形的最小自由相邻链接 Connect Randomly Ordered 2D Points into a Minimal Nearest-Neighbor Closed Contour(Connect Randomly Ordered 2D Points into a Minimal Nearest-Neighbor Closed Contour)

求解Lambert问题。 输入：轨道上两个点的位矢R1、R2，以及从R1到R2所用的时间t(缺点是脉冲太大)。 输出：质点在R1端点的速度V1，质点在R2端点的速度V2. 此函数用于：在给定轨道上两个点的位矢R1、R2，以及从R1到R2所用的时间t。求解V1、V2。再调用前面的函数就可以确定轨道根数，及任意时刻质点的状态。(To solve the Lambert problem. Input: track two-point position vector R1, R2, and R1 to R2 used in the time t (The disadvantage is that the pulse is too large). Output: particle R1 endpoint speed V1, the particle in the R2 endpoint speed V2. This function is used: two points in a given orbit position vector R1, R2, and from R1 to R2 with the time t. Solve the V1 and V2. And then call the previous function can determine the orbital elements, and any moment of the particle' s state.)

CT iradon transform-image recon(CT radon transform-image recon)

对在MATLAB编程环境下的模糊推理过程进行确定性分析，分析了模糊推理的过程和参数选择方法，并进行了方针证明。(MATLAB programming environment in the fuzzy reasoning process of uncertainty analysis, analysis of the fuzzy reasoning process and parameter selection method, and carried out policies to prove.)