simulation-of-the-PV-array

元胞自动机模拟交通状况，可以进行超车，可模拟堵车(Cellular automata simulation traffic conditions, overtaking can be simulated traffic jam)

这是基于matlab的用户界面GUI的关于图像处理的源代码，这几段代码实现了GUI界面多种功能的图像处理，让我们对图像处理比书本文字有更为直观的感受。(Matlab user interface (GUI)-based image processing source code, which pieces of code to achieve a GUI interface for a variety of functions, image processing, image processing than the book text a more intuitive feel.)

该程序可以实现对于信号的时域参数提取以及信号的包络分析(The program can realize time domain parameter extraction of signals and envelope analysis of signals)

MATLAB里面有LMS算法的程序，下面是我自己编写的LMS算法程序，供交流(MATLAB LMS algorithm inside the procedure, the following is my own preparation of the LMS algorithm procedures for the exchange of)

matlab编程基础教程，适用于matlab入门学习和参考。简明易懂，直观易上手。(programming in matlab。)

this simulation is a way for watermarking and steganography with j-uniward

一个实例搞定 MATLAB 界面编程，如果您坚持做完这个实例，我想MATLAB界面编程对您而言，就没有什么难度了。(an instance of MATLAB programming interface )

function for getting all line coordinate interms of x and y, also a circle coordinate function

V-BLAST结构的ZF检测算法性能，分别在无干扰消除和有干扰消除的系统性能(ZF detection algorithm performance V-BLAST structure, respectively, and there is no interference to eliminate interference cancellation system performance)

Smooths a matrix (with/without NaN s) via recursive moving average method and eliminates data gaps. (MOVING_AVERAGE(X,F) smooths the vector data X with a boxcar window of size 2F+1, i.e., by means of averaging each element with the F elements at his right and the F elements at his left. The extreme elements are also averaged but with less data, obviously. Leaving the edges intact. The method is really fast. MOVING_AVERAGE2(X,M,N) smooths the matrix X with a boxcar window of size (2M+1)x(2N+1), i.e., by means of averaging each element with its surrounding elements that fits in the mentioned box centered on it. This one is also really fast. The elements at the edges are averaged too, but the corners are left intact. NANMOVING_AVERAGE(X,F) or NANMOVING_AVERAGE(X,F,1) accept NaN s elements in the vector X the latter interpolates also those NaN s elements surrounded by numeric elements. NANMOVING_AVERAGE2(X,M,N) or NANMOVING_AVERAGE2(X,M,N,1) accept elements NaN s in the matrix X the latter interpolates also those NaN elements surrounded by numeric elements.)