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cc
说明: simple cooperation communication model use alamouti code
- 2010-01-05 11:04:37下载
- 积分:1
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model_AF
说明: 简单matlab的AF协作仿真,信道为瑞利信道(The AF cooperative communication simple matlab simulation, channel is Rayleigh Road)
- 2010-04-23 20:51:16下载
- 积分:1
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MATLAB-programming-extensions
MATLAB 扩展编程.rar MATLAB programming extensions MATLAB programming extensions(MATLAB programming extensions. Rar)
- 2011-11-08 13:29:08下载
- 积分:1
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ba_interpolation
This method handles the border by repeating the closest values to the point accessed.
This is different from matlabs border handling.
- 2010-10-09 16:33:35下载
- 积分:1
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Perfect-fuzzy-adaptation
adaptive fuzzy control
- 2012-11-28 02:28:26下载
- 积分:1
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NC-MFSK
nc mfsk调制,包括了bfsk,qfsk,8fsk等东西(nc mfsk modulation, including bfsk, qfsk, 8fsk and other things)
- 2009-04-26 03:03:41下载
- 积分:1
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understanding_CIC_compensation_Filters
主要是讲CIC补偿滤波的设计与理解,里面有数学推导和程序实例,希望对大家有用(cic compensation filter design)
- 2011-01-11 16:00:13下载
- 积分:1
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BAM_Neural_Network
说明: BAM是一种两层的异联想,内容可寻址存储器组成的反馈网络。
分类:离散,连续 和自适应BAM等。
1987年和1988年由Kosko提出的BAM型。
网络运行是双向的。对网络的一端输入信号,则可在另一端得到输出,该输出又反馈回来,经过多次反复,直到网络达到稳态为止(BAM is a two-tier Heteroassociation, content addressable memory component of the feedback network. Classification : discrete, continuous and adaptive BAM other. In 1987 and 1988 by the BAM Kosko type. The operation of the network is a two-way. The network side input signal can be received at the other end output, the output feedback to come back again, repeatedly, until the network reached so far Steady)
- 2021-04-18 15:18:51下载
- 积分:1
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LPS
test upload please do not to use it.
- 2011-09-19 12:43:29下载
- 积分:1
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Codes-of-BSA-and-CSO
Chicken Swarm Optimization(CSO)鸡群优化算法,2014年提出的群智能优化算法。
Bird Swarm Algorithm(BSA)鸟群算法,2015年最新的群智能优化算法。
作为两种全新的群智能优化算法,CSO和BSA都具有简单,良好扩展性的特点,是天然的多种群算法!
http://cn.mathworks.com/matlabcentral/profile/authors/3317597-xian-bing-meng
有关算法信息,可在上述网站查询。
希望对大家有用!
(Attachment is a file containing two demos for the nature-inspired algorithms, Chicken Swarm Optimization (CSO) and Bird Swarm Algorithm (BSA), which are proposed in 2014 and 2015, respectively. With the merits of innate multi-swarm and self-adaptive algorithms, the two new metaheuristic algorithms may show their superiorities over some other metaheuristic algorithms.)
- 2015-06-24 12:17:45下载
- 积分:1