IEEE80211b_PHY_DBPSK

自己整理出来的几个常用的一维无网格方法的matlab程序。(Organize their own out of several commonly used one-dimensional meshless method matlab program.)

DPSK for AWGN and Rayleigh fading channel

白噪声是工程中常用到的参考信号，程序通过白噪声的计算方法，可以得出2至7阶的白噪声序列，值得参考(White noise is commonly used to project the reference signal, the program is calculated through the white noise, can be drawn from 2 to 7 bands of white noise sequence)

说明：  经典ESPRIT算法，在等间距接受阵列的条件下，直接估计出我们想要接收信号的角度。八个接收天线，二个目标信号，噪声为高斯噪声。(Classical ESPRIT algorithm, such as spacing in the array to accept the conditions, we want to directly estimate the received signal point of view. Eight receiving antennas, two target signal and noise as Gaussian noise.)

该工具箱的目的是要帮助人们理解计算机视觉方法引用另一种为在 matlab 的源代码。 因此，一些方法被 re-implemented，即使当其源代码不可用时，matlab 最初，具有方法。 例如 re-implemented kmeans 算法。(The aim of this toolbox is to present source codes in matlab as another kind of references for helping people to understand computer vision methods. Thus, some methods were re-implemented, even if matlab has the methods originally, when their source codes are not available. For example, kmeans algorithm was re-implemented. Howerver, notice that the built-in functions are faster than functions created in this toolbox because the built-in functions are mostly written in C. )

cooperative communication theory

英文版Rsoft软件 BeamPROP 使用手册，简单详细(ENGLISH Rsoft Beamprop Guiding Manual, simple and detailed.)

Canny edge detector algorithm matlab codes This part gives the algorithm of Canny edge detector. The outputs are six subfigures shown in the same figure: • Subfigure 1: The initial "lena" • Subfigure 2: Edge detection along X-axis direction • Subfigure 3: Edge detection along Y-axis direction • Subfigure 4: The Norm of the image gradient • Subfigure 5: The Norm of the gradient after thresholding • Subfigure 6: The edges detected by thinning

介绍了多用户检测中遇到的相关问题及引起这些问题的原因，在此基础上提出自己的想法...(It introduce some related problems of MUD and the reasons which result in these problems.At the foundation of these reasons,I advance my personal ideas...)

说明：  K-MEANS算法是输入聚类个数k，以及包含 n个数据对象的数据库，输出满足方差最小标准的k个聚类。 (K-MEANS algorithm is the input number of clusters k, and n a data object that contains the database and output to meet the standard minimum variance k-clustering.)