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topsisPMATLAB
用topsis法求取各评价方案的优劣。构建了MATLAB代码来求解(Calculated by the TOPSIS method of the pros and cons of scheme uation.)
- 2014-10-29 08:11:59下载
- 积分：1
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Problem3_20.m
Chaotic Pendulum, Shows entrance and exit of Chaos
- 2013-04-12 20:38:37下载
- 积分：1
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svd01
实现信号的SVD 分解,对信号中的奇异性进行监测，对突变信号点也可以很好监测(to complete the SVD for signals，Singularity of signal monitoring, signal monitoring point can be very good for mutations)
- 2013-04-25 15:29:30下载
- 积分：1
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matlab_basic_book
matlab basic book ,介绍一些关于matlab 的知识以及其用法，对于初学者强烈推荐，可作为入门教程，有比较多的例子(matlab basic book, some knowledge on matlab and its usage, strongly recommended for beginners and can be used as entry-course, there are more examples of)
- 2009-04-13 23:47:10下载
- 积分：1
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RCB_EB
Estimates the power spectral densities (PSDs) using the EB method with q = 0 for deciding the diagonal loading.
- 2013-12-07 05:01:24下载
- 积分：1
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randfixedsum
随机固定求和函数，里面附有具体的应用讲解，可参考。(Random fixed sum function, which accompanied the application of specific explanations, can be found.)
- 2021-03-04 11:19:32下载
- 积分：1
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nakagami
说明： Nakagami-m分布能用来对比瑞利分布条件更苛刻的衰落信道进行建模，最适合于郊区无线多径信道上接受的数据信号，瑞利分布是它 时的特例。(Nakagami-m distribution can be used to model fading channels with more stringent Rayleigh distribution conditions. It is most suitable for data signals received on suburban wireless multipath channels. Rayleigh distribution is its special case.)
- 2020-03-10 15:35:40下载
- 积分：1
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maibojishu
说明： 11电平的MMC的脉冲触发控制方法，含均压控制。(11 level MMC pulse trigger control method, including voltage sharing control.)
- 2020-06-23 17:12:29下载
- 积分：1
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is95
此函数用于IS-95前向链路系统的仿真，包括扩
频调制，匹配滤波，RAKE接收等相关通信模块。
( This function is used to forward link IS-95 system simulation, including the expansion of frequency modulation, matched filter, RAKE receiver, and other related communication module.)
- 2011-06-06 16:19:07下载
- 积分：1
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HDFaceRecognitionSystemMatlabsourcecode
Advances in data collection and storage capabilities during the past decades have led to an information overload in most sciences. Researchers working in domains as diverse as engineering, astronomy, biology, remote sensing, economics, and consumer transactions, face larger and larger observations and simulations on a daily basis. Such datasets, in contrast with smaller, more traditional datasets that have been studied extensively in the past, present new challenges in data analysis. Traditional statistical methods break down partly because of the increase in the number of observations, but mostly because of the increase in the number of variables associated with each observation. The dimension of the data is the number of variables that are measured on each observation.
- 2009-07-11 13:58:55下载
- 积分：1
