程序2

打开Matlab，输入代码，执行，得结果(Open Matlab, input code, the implementation of the findings)

16QAM调制和解调，中间经过高频调制，采用均衡接收,信道为加性高斯白噪声(16QAM modulation and demodulation, then modulate the signal to the high frequence before translated onto the channel)

图像灰度梯度求解 matlab程序 可用于求解图像的灰度梯度值，多幅图像之间比较清晰度等。(Solving matlab image gray gradient gray gradient program can be used to solve the values ​ ​ of the image, more clarity between multiple images.)

我们的目的是将一个分数拆分成若干个分子是1分母是正整数的分数之和的形式。例如2/3可以拆分成1/2+1/6的形式。这里不考虑顺序，比如1/6+1/2和1/2+1/6相同。 输入p, q, a, n, 其中p/q为分数，对这个分数进行拆分，要求拆分的分数个数不能多于n个，所有分母的乘积不能大于a。求有多少种拆分方法? 输入：最多200组数据。在每行中都有四个数分别表示p, q, a, n，之间以空格隔开，并且满足p,q<=800，a<=12000，n<=7，最后以四个0做为输入的结束。 输入示例: 2 3 120 3 2 3 300 3 0 0 0 0 输出示例: 4 7 (Our aim is to split a fraction into a number of elements is a denominator is a positive integer fraction of the sum of form. For example, 2/3 can be split into 1/2+1/6 form. Not considered here, the order, such as 1/6+1/2 and 1/2+1/6 of the same. Input p, q, a, n, where p/q as a fraction of this split scores require no more than the number of split points n-all the product of the denominator can not be larger than a. How many kinds of demand split method? Input: Up to 200 sets of data. In each line has four numbers indicate the p, q, a, n, separated by a space between, and meet the p, q < = 800, a < = 12000, n < = 7, the end, four 0 as the input end. Input Example: 2,312,032,330,030,000 sample output: 47)

matlab采用半色调技术对图像进行显示：用模板近似表示10个灰度级，每一个灰度级用3*3 的模板来表示，并对如下图所示的256*256的渐变图像进行半色调输出的检验。(matlab using halftoning image display: template approximated 10 gray levels, a gray level of each template used to represent the 3* 3, and the gradation of the image as shown in Figure 256* 256 halftone inspection of the output.)

GM(1,1),用于预测数据变化趋势，基于灰度理论的。。。(GM (1,1), used to predict the data trend, based on gray theory. . .)

本文首先介绍了边缘的定义，说明了传统的几种边缘检测算子并比较了它们算法的不同与优缺点。随后引入了小波的思想、小波的基本概念， (This paper introduces the edge of the definition, Note some of the traditional edge detection operators and compare them with the different algorithms advantages and disadvantages. The subsequent introduction of wavelet thinking, wavelet the basic concepts,)

mmread reads virtually any media file. If Windows Media Play can play it, so should mmread. It uses the Window s DirectX infrastructure to ％ render the media, so other OSs are out of luck.(mmread reads virtually any media file. If W for Windows Media Player can play it. so should mmread. It uses the DirectX in Window s GE% to render the media, so other OSs are out of luck.)

another file simulation in simulink

利用matlab编程实现RBF神经网络，利用训练模型算法，最后得到较精确的神经网络模型，里面的程序并不需要先前自己进行数据归一化处理(radial basis function)