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Lee
Lee滤波器,Matlab实现,非常好用!(Lee Filters, Matlab implementation, very easy to use!)
- 2010-06-06 11:55:37下载
- 积分:1
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Tracking-control-of-a-mobile-robot-with-kinematic
Tracking control of a mobile robot with kinematic and dynamic constraints
- 2013-01-01 14:07:37下载
- 积分:1
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weina
维纳滤波器程序主要适用于dsp系统下的运作和开发!(weina filter program
)
- 2013-12-20 21:02:08下载
- 积分:1
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ArtificialImmunealgorithmprogres(matlab)
这是我托朋友在国外网站上下载的有关人工免疫算法的一系列程序,有很多算法的源程序,是用matlab编写的,对搞这方面的研究非常有帮助。(This is what I asked a friend abroad website of the artificial immune algorithm a series of procedures, the source has a lot of algorithm is the use of matlab prepared to engage in research in this area very helpful.)
- 2007-09-13 15:42:42下载
- 积分:1
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bib_mas
a complete biblio of the asynchronous machine
- 2009-02-23 15:44:54下载
- 积分:1
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channelcodingMATLAB
本程序包括了信道编码的一些仿真程序以及一些关于信道编码的介绍,并对仿真结果进行分析(The program includes a number of channel coding simulation program, and some on the introduction of channel coding, and analysis of simulation results)
- 2010-08-30 09:38:11下载
- 积分:1
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source
输入信号为方波信号+高斯白噪声,方波信号基 频为1kHz,幅值为1,高斯白噪声方差为0.2, 均值为0,采样频率为20kHz。试用最大熵估计 法估计此信号的AR模型及其功率谱,并分析结 果(The input signal is a square wave signal+ Gaussian white noise, square wave signal fundamental frequency 1kHz, amplitude is a Gaussian white noise variance is 0.2, the mean is 0, the sampling frequency is 20kHz. Try maximum entropy estimation method to estimate the AR model of this signal and its power spectrum, and analyze the results)
- 2013-10-29 17:50:45下载
- 积分:1
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corellation
Cross Correlation function
- 2012-10-08 05:29:46下载
- 积分:1
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drawing
matlab经典算法程序中关于绘图问题的具体指导资料 给需要的朋友们以启发(classical algorithm matlab program drawing problems specific guidance on information to friends who need to inspire)
- 2013-11-13 11:23:12下载
- 积分:1
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EllipseFitByTaubin
This is a fast non-iterative ellipse fit, and among fast non-iterative ellipse fits this is the most accurate and robust.
It takes the xy-coordinates of data points, and returns the coefficients of the equation of the ellipse:
ax^2 + bxy + cy^2 + dx + ey + f = 0,
i.e. it returns the vector A=(a,b,c,d,e,f). To convert this vector to the geometric parameters (This is a fast non-iterative ellipse fit, and among fast non-iterative ellipse fits this is the most accurate and robust.
It takes the xy-coordinates of data points, and returns the coefficients of the equation of the ellipse:
ax^2+ bxy+ cy^2+ dx+ ey+ f = 0,
i.e. it returns the vector A=(a,b,c,d,e,f). To convert this vector to the geometric parameters )
- 2009-10-19 20:29:44下载
- 积分:1