multi_user_dectect

介绍matlab的ppt，介绍了matlab中所使用的各种画图函数，初学者很容易上手。(Matlab introduction of ppt, introduced matlab used in a variety of drawing functions, beginners can easily get started.)

用matlab解非线性方程，练习matlab的应用(Solving nonlinear equations with matlab, matlab application to practice)

this code is for finding skin region and its center.

对Matlab的使用及其在相关方面的应用。(The use of Matlab and its related applications.)

最速下降法的MATLAB源程序，不知道是否喜欢(Steepest descent method of the MATLAB source code, I do not know like it or not)

说明：  一片详细介绍adaboost进行目标识别的文章。采用MSTAR数据库作为数据来源，非常经典的adaboost实现(A detailed article adaboost target recognition. MSTAR database as the data source used, to achieve a very classic adaboost)

这是一本多方位的数据源代码，有统计分析、Matlab仿真等(These codes are from a famous book which tell us how to solve some diffcult questtions.)

切比雪夫低通原型滤波器的设计元件值的提取和耦合系数的计算。并且给出S21和S11的响应曲线图(Chebyshev low-pass extraction and coupling coefficients calculated prototype filter design element values. S21 and S11, and gives the response graph)

很好的一个一维条码检测识别源码，作为参考很有用(Very good detection and recognition of a one-dimensional bar code source, as a useful reference)

Relaying and orthogonal frequency division multiple access (OFDMA) are the accepted technologies for emerging wireless communications standards. The activities in many wireless standardization bodies and forums, for example IEEE 802.16 j/m and LTE-Advanced, attest to this fact. The availability or lack thereof of efficient radio resource management (RRM) could make or mar the opportunities in these networks. This paper therefore provides a comprehensive RRM algorithm for OFDMA-based multi-cellular fixed relay networks in a way to ensure fairness among users with minimal impact on the network throughput (in contrast, pure opportunistic RRM techniques always favor users with good channel conditions