M-QAM_rayleigh

MATLAB 《R2008数字图像处理与分析实例教程》 赵淑兰著 这本书上附带的matlab源代码(MATLAB " R2008 digital image processing and analysis of examples tutorial" Zhao Shulan for this book with the matlab source code)

信号编码使用hdb3码，其解码程序，可以防止连0和连1对信号造成的干扰(hdb3 code decoding process)

计算occupied bandwidth(OBW)的测试代码，在原来的基础上增加了回退修正的功能，结果更准确一些。(Test code of calculate the occupied bandwidth (OBW)，append some code to fix the result.)

这是一个matlab关于模型预测控制的例子，主要是一个机械转台的控制仿真，希望对学习模型预测控制的同学有帮助(This is an example matlab on model predictive control is mainly a mechanical turntable control simulation, in the hope of learning model predictive control to help students)

模拟机器人在迷宫寻找出口的程序，使用蒙特卡洛算法定位，模拟测试找路程序(Simulated robot in a maze looking for export, the use of Monte Carlo algorithm to locate, find a way to simulate the test program)

MATLAB智能算法30个案例分析.史峰等.扫描版(MATLAB intelligent algorithm 30 case studies)

给予声卡和MATLAB的编程，生成正弦波，声卡是外置的usb声卡，自己电脑的声卡也行(Sound card and MATLAB programming to generate sine wave, is an external sound card usb sound card, your computer' s sound card has line)

运用MATLAB编程实现计算两序列x1(n)={1,2,3,4,5},x2(n)={1,2,3,4,5,4,3,2,1}的圆周卷积(Calculated using MATLAB programming to achieve the two sequences x1 (n) = (1,2,3,4,5), x2 (n) = (1,2,3,4,5,4,3,2,1) of circular convolution)

由Matlab编写的实现lv-svm分类的源码程序(Prepared by the Matlab implementation of lv-svm classification of source programs)

we present an improved fuzzy C-means (FCM) algorithm for image segmentation by introducing a tradeoff weighted fuzzy factor and a kernel metric. The tradeoff weighted fuzzy factor depends on the space distance of all neighboring pixels and their gray-level difference simultaneously. By using this factor, the new algorithm can accurately estimate the damping extent of neighboring pixels. In order to further enhance its robustness to noise and outliers, we introduce a kernel distance measure to its objective function. The new algorithm adaptively determines the kernel parameter by using a fast bandwidth selection rule based on the distance variance of all data points in the collection. Furthermore, the tradeoff weighted fuzzy factor and the kernel distance measure are both parameter free. Experimental results on synthetic and real images show that the new algorithm is effective and efficient, and is relatively independent of this type of noise.