chap5_01_PPC

比较采用干扰消除和无干扰消除的V-BLAST系统误帧率与SNR的关系曲线。系统参数：收发天线个数M=4，N=6；设定发送信号总功率P=1；设定每一帧中的符号数Nframe=100；调制方式为16QAM；信道为不相关瑞利衰落信道。(Was used to compare the interference canceller and V-BLAST system without interference cancellation, the frame error rate and SNR curve. System parameters: the number of transmit and receive antennas M = 4, N = 6 set to send the signal power P = 1 set the number of symbols in each frame Nframe = 100 modulation for 16QAM channel is not related to Rayleigh fading channel.)

处理lasso regression。 使用stochastic Markov property。(Algorithm for solving the Lasso problem: 0.5* (y- X*beta) *(y- X*beta)+ lambda* ||beta||_1 where ||beta||_1 is the L_1 norm i.e., ||beta||_1 = sum(abs( beta )) We use the method proposed by Fu et. al based on single co-ordinate descent. For more details see GP s notes or the following paper: Penalized Regressions: The Bridge Versus the Lasso Wenjiang J. FU, Journal of Computational and Graphical Statistics, Volume 7, Number 3, Pages 397?416, 1998 )

matlab code for new user to design any project

it is to explain gibbs phenomenon

OFDM系统中基于注水算法的功率分配,有助于深入了解注水算法的原理(power allocation based on waterfilling algorithm for OFDM systems，It helps to understand the principles of water-filling algorithm)

TSP问题模拟退火算法MATLAB源码,已通过调试(TSP problem simulated annealing algorithm MATLAB source code, has passed the commissioning)

采用matlab进行GUI设计的一个实例(GUI design using matlab to an instance of)

说明：  PSO-LSSVM分类测试程序代码模板,PSO优化LSSVM工具箱——分类部分(PSO-LSSVM Classification Test Program Code Template, PSO Optimizing LSSVM Toolbox-Classification Part)

该程序是使用Matlab仿真协同通信的DF（解码转发）基本性能，基本模型S-R-D三个节点，接收端使用MRC（最大比合并）。固定DF由于SR信道的错误，其性能受到限制，在大SNR情况下不能获得有效分集。而当SR距离足够近的时候，可能获得一定的分集增益。(The program is a cooperative communication using Matlab simulation DF (decode forwarding) basic performance, the basic model of the SRD three nodes, the receiver uses the MRC (maximum ratio combining). Fixed DF error of the SR channel, its performance is limited, can not obtain a valid diversity in the large SNR case. When the SR close enough, you may get some diversity gain.)

matlab程序设计入门 广州大学土木工程学院力学教研室编写 2004年2月(matlab programming entry Guangzhou University School of Mechanics, Civil Engineering Department in February 2004, written)