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ZFBFprecoding
多用户MIMO系统的一种干扰消除类预编码迫零预编码(ZFBF)(an interference elimination algorithm for multi-user MIMO system-Zero Forcing precoding(ZFBF) )
- 2014-04-23 20:36:38下载
- 积分:1
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高斯积分matlab程序
说明: 计算在同一区域上的二重高斯-勒让德积分。(Calculating double Gauss integral in the same region)
- 2021-04-20 12:08:50下载
- 积分:1
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LFMpulseCompression
线性调频信号脉冲压缩程序,初学脉压的同学可以看看(LFM signal PUlse compression Procedure )
- 2015-03-29 21:33:17下载
- 积分:1
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比幅法测向测向 Direction
说明: 用比幅法测向测向,并进行误差分析,通过4个天线进行测向(Direction finding and direction finding by amplitude comparison method and error analysis are carried out.)
- 2021-04-13 10:48:56下载
- 积分:1
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Tribes
Particle swarm optimization (PSO) is a novel metaheuristic inspired by the flocking behavior of birds. The applications of PSO
to scheduling problems are extremely few.
- 2021-05-15 23:30:03下载
- 积分:1
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ggrgwu
灰色理論下之灰關聯matlab源碼,可幫助計算一序列中的數據的權重,得以給予不同之相關性(gray theory under gray relational Matlab source that could help the calculation of a sequence of data weights, given to the relationship between different)
- 2007-06-01 16:35:55下载
- 积分:1
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Antenna-mutual-coupling-
天线互耦对MIMO无线信道性能的影响 (Antenna mutual coupling on MIMO radio channel performance)
- 2013-11-10 21:22:17下载
- 积分:1
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p3
MATLAB与外部程序接口编程第3章-avi,图片文件使用matlab读取(failed to translate)
- 2013-05-04 10:37:40下载
- 积分:1
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fangben_v28
ldpc码的编解码实现,大学数值分析算法,LCMV优化设计阵列处理信号。( Codec ldpc code implementation University of numerical analysis algorithms, LCMV optimization design array signal processing.)
- 2017-04-04 18:42:44下载
- 积分:1
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MATLAB
MATLAB函数参考手册,查看matlab函数作用以及功能。( SVMLSPex02.m
Two Dimension SVM Problem, Two Class and Separable Situation
Difference with SVMLSPex01.m:
Take the Largrange Function (16)as object function insteads ||W||,
so it need more time than SVMLSex01.m
Method from Christopher J. C. Burges:
"A Tutorial on Support Vector Machines for Pattern Recognition", page 9
Objective: min "f(A)=-sum(ai)+sum[sum(ai*yi*xi*aj*yj*xj)]/2" ,function (16)
Subject to: sum{ai*yi}=0 ,function (15)
and ai>=0 for any i, the particular set of constraints C2 (page 9, line14).
The optimizing variables is "Lagrange Multipliers": A=[a1,a2,...,am],m is the number of total samples.)
- 2011-04-27 14:27:35下载
- 积分:1