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09041111
qpsk调制在瑞利信道中的性能仿真,以及各个阶段信号的星座图仿真(qpsk modulation performance in Rayleigh channel simulation, as well as the various stages of signal constellation simulation)
- 2009-12-23 00:33:15下载
- 积分:1
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Tp0
Image treatment file:image filters and beginners commands
- 2011-07-08 09:31:14下载
- 积分:1
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bpsk_spread
BPSK code of matlab.
- 2014-09-25 11:41:10下载
- 积分:1
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smc
主要是摩擦学方面的东西,进行分析时需要的(failed to translate)
- 2011-11-24 16:40:21下载
- 积分:1
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Untitled3
matlab线性拟合及指数拟合的源程序,并不是利用plotfit函数。(matlab linear fit and exponential fit of the source, not using plotfit function.)
- 2011-11-15 18:32:24下载
- 积分:1
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ex1_3
Particle swarm optimization has been used to solve many optimization problems since it was
proposed by Kennedy and Eberhart in 1995 [4]. After that, they published one book [9] and
several papers on this topic [5][7][13][15], one of which did a study on its performance using
four nonlinear functions adopted as a benchmark by many researchers in this area. In PSO,
each particle moves in the search space with a velocity according to its own previous best
solution and its group’s previous best solution. The dimension of the search space can be any
positive integer.
- 2011-02-14 18:34:03下载
- 积分:1
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APF2
基于simulink的apf matlab程序,希望对大家有所帮助。(the apf Matlab program based on Simulink, hope to be useful for you!)
- 2012-05-08 15:00:31下载
- 积分:1
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Simple-Counter
在matlab环境下编写的简易计算器,能够进行四则运算和正弦余弦,x的y次方运算,对数运算等相关运算(In the matlab environment prepare a simple calculator that can perform arithmetic calculations and sine cosine, x of y th arithmetic, logarithmic arithmetic operations and other relevant)
- 2013-12-23 20:00:29下载
- 积分:1
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vector_control
matlab work of matrix converter.......................
- 2012-02-08 16:49:06下载
- 积分:1
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半监督分类算法
说明: 半监督学习(Semi-Supervised Learning,SSL)是模式识别和机器学习领域研究的重点问题,是监督学习与无监督学习相结合的一种学习方法。半监督学习使用大量的未标记数据,以及同时使用标记数据,来进行模式识别工作。当使用半监督学习时,将会要求尽量少的人员来从事工作,同时,又能够带来比较高的准确性,因此,半监督学习目前正越来越受到人们的重视。(Semi-Supervised Learning (SSL) is a key issue in the field of pattern recognition and machine learning. It is a learning method combining supervised learning with unsupervised learning. Semi-supervised learning uses a large number of unlabeled data, as well as labeled data, for pattern recognition. When using semi-supervised learning, it will require as few people as possible to work, and at the same time, it can bring relatively high accuracy. Therefore, semi-supervised learning is receiving more and more attention.)
- 2021-04-12 11:28:57下载
- 积分:1