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dikstra
说明： dijkstra算法求最短路径及路径标号的matlab实现(dijkstra，shortest path)
- 2011-03-31 09:44:57下载
- 积分：1
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PF-error
基于粒子滤波器的目标跟踪算法。适合刚开始学习目标跟踪和粒子滤波器的人员。(Particle filter based tracking algorithm. Learning objectives for the beginning of the personnel tracking and particle filters.)
- 2011-05-12 16:24:19下载
- 积分：1
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LEACH
wsn leach算法源码,对于掌握wsn的拓扑控制很有帮助(the code of the wsn s LEACH)
- 2012-05-11 22:17:15下载
- 积分：1
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genetator
MATLAB/SIMULINK下建立发电机仿真模型(Generator simulation model established under MATLAB/SIMULINK)
- 2020-07-02 02:40:02下载
- 积分：1
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ED_MOALO
多目标蚁狮优化算法求解电力系统经济调度问题(Multi-objective ant lion optimizer for solving ecnomic dispatch problem)
- 2020-11-24 15:09:33下载
- 积分：1
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DSSS
说明： 设计一个有干扰的直接序列扩频通信系统， PN码由m序列产生器产生，经过高斯白噪声信道。在接收端接收到的信号包括“有用信号+高斯白噪声+干扰”，将接收信号进行解扩，判决，得到用户的信号检测结果，绘制不同的扩频增益（增益值为10，30，50）下，误比特率随信噪比Eb/N0的变化曲线。(Design of a direct sequence spread spectrum interference system, PN code generated by the m sequence generator, after white Gaussian noise channel. Receives the signal at the receiver, including " useful signal+ Gaussian white noise+ interference" , will receive the signal despreading, judgments, get the user' s signal test results, draw a different spreading gain (gain value of 10,30, 50), the BER curves with the signal to noise ratio Eb/N0.)
- 2010-05-03 14:18:32下载
- 积分：1
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two_path_fading_qpsk
two path fading(qpsk)
这个是我写的关于qpsk的two path fading,站长帮帮忙,我现在很需要一篇<信道估计算法>(基于瑞利衰落信道的LS算法的Matlab程序),后天就要交了,救人一命胜造7级浮屠啊!(two path fading (qpsk) This is what I wrote on the two p qpsk ath fading, the station help out, I am now a need)
- 2006-09-05 04:32:59下载
- 积分：1
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chap3_02_MIT_MRAC
基于梯度法（MIT-MRAC）的模型参考自适应控制的程序(Gradient-based method of model reference adaptive control procedures)
- 2009-10-30 15:00:35下载
- 积分：1
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FGseg
RUNME.m -- example using of the foregorund extractor.
Nicholas R. Howe
March 10, 2005.
Please read copyright.txt
( RUNME.m-- example using of the foregorund extractor.
Nicholas R. Howe
March 10, 2005.
Please read copyright.txt
)
- 2010-10-15 21:24:44下载
- 积分：1
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bwlabel
说明： 为MATLAB中的图形增加标签，从而可以有效地表示图形意义，防止读不懂图的情况( BWLABEL supports 2-D inputs only, whereas BWLABELN support any
input dimension. In some cases you might prefer to use BWLABELN even
for 2-D problems because it can be faster. If you have a 2-D input
whose objects are relatively "thick" in the vertical direction,
BWLABEL will probably be faster otherwise BWLABELN will probably be
faster.)
- 2011-04-08 08:49:31下载
- 积分：1
