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RSS-Cramer_Rao
RSS测距定位模型的Cramer_Rao界分析(RSS Ranging Positioning Model Cramer_Rao sector analysis)
- 2010-01-04 17:17:38下载
- 积分：1
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matlab6.5
精通matlab（北航张志涌，本书既可作为理工科院校研究生、本科生系统学习的教材，又可以作为广大科技工作者掌握和精通
MATLAB 的自学用书和使用手册。(Proficient in matlab (BUAA Zhang Yong))
- 2009-06-06 11:24:30下载
- 积分：1
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Performance-Evaluation-of-FEC-techniques
IEEE paper in information coding techniques
- 2013-01-16 23:05:50下载
- 积分：1
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2links-Robo
In this paper, an orthogonal functions neural network is used to
achieve the control of nonlinear systems. The adaptive controller is constructed
by using Chebyshev orthogonal polynomials neural network, which has advantages
such as simple structure and fast convergence speed. The adaptive learning
law of orthogonal neural network is derived to guarantee that the adaptive
weight errors and tracking errors are bound by using Lyapunov stability theory.
Simulation results are given for a two-link robot in the end of the paper, and the
control scheme is validated.
- 2014-11-09 15:47:04下载
- 积分：1
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Matlab
Matlab信号处理（刘波等编著）部分程序，内附有一个常用函数清单的PDF文档(Matlab Signal Processing (ed. Liu Bo, etc.) of the program, enclosing a list of commonly used functions PDF documents)
- 2009-09-17 18:37:55下载
- 积分：1
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matlabbook
MATLAB在振动信号处理中的应用2006年01月第1版王济
Matlab在信号处理方面的应用，很不错的参考书(It is a good book about Matlab s application of Signal processing)
- 2009-06-28 09:50:50下载
- 积分：1
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DCDCbianhuanqi
光伏电池的模拟仿真文件 请及时下文件mdl(matlab guangfudianchi)
- 2011-08-28 18:28:25下载
- 积分：1
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Blood-cell-girija
In response to a complaint we received under the US Digital Millennium Copyright Act, we have removed 1 result(s) from this page. If you wish, you may read the DMCA complaint that caused the removal(s) at ChillingEffects.org.
- 2014-08-29 02:38:56下载
- 积分：1
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matched_filter.m
雷达信号处理中的匹配滤波MATLAB程序，程序完整，注释详细。(match filtering for radar signal processing.the code annotation is detailed)
- 2021-02-01 17:10:00下载
- 积分：1
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disteu
DISTEU Function
DISTEU Pairwise Euclidean distances between columns of two matrices
Input:
x, y: Two matrices whose each column is an a vector data.
Output:
d: Element d(i,j) will be the Euclidean distance between two
column vectors X(:,i) and Y(:,j)
Note:
The Euclidean distance D between two vectors X and Y is:
D = sum((x-y).^2).^0.5
- 2013-03-15 15:11:01下载
- 积分：1
