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IIR
用巴特沃斯逼近以及双线性实现数字滤波器的设计~~!!(iir)
- 2009-11-21 11:19:00下载
- 积分:1
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fudaopu
一个用matlab进行数字信号处理的例程,包括复到谱和功率普(a digital signal processing routines, including Minute spectrum and power to Cape)
- 2005-05-09 17:33:11下载
- 积分:1
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Polynomial
对于具体实验时,通常不是先给出函数的解析式,再进行实验,而是通过实验的观察和测量给出离散的一些点,再来求出具体的函数解析式。又因为测量误差的存在,实际真实的解析式曲线并不一定通过测量给出的所有点。最小二乘法是求解这一问题的很好的方法,本实验运用这一方法实现对给定数据的拟合。(For specific experiments, usually not first given function analytic formula, and then experiment but given by the experimental observation and measurement of a number of discrete points, and come back to find the specific function analytic formula. And because the presence of measurement error, the actual real analytic curve does not necessarily pass through all points of measurement given. The least squares method is a good way of solving this problem, the experimental use of this method of fitting the given data.)
- 2013-03-03 14:06:21下载
- 积分:1
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chapman_Book_Samples
this is a samples of Chapman s matlab book
10chapter
- 2014-12-07 07:13:01下载
- 积分:1
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model-of-Photovoltaic-DG-matlab-
光伏分布式电源的模型,在matlab中编码实现(PV distributed power model, Coding in matlab)
- 2013-04-12 14:46:25下载
- 积分:1
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20091101APIT
无线传感器网络的APIT定位算法,作为参考例程.(Wireless sensor networks APIT localization algorithm, as a reference to routine.)
- 2009-11-01 14:58:53下载
- 积分:1
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circonvt
matlab求两个数组的卷积的程序,两种方案实现(matlab array of convolution for the two procedures, the two plans to achieve)
- 2008-12-18 17:24:24下载
- 积分:1
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RCLS
在最小二乘参数估计值的基础上,引进补偿项σW2C-1D Ø 0,则获得了参数的无偏估计。针对模型噪声来说,RCLS算法的适应能力比RLS更好。(In the least squares estimation parameters, on the basis of introduction of compensation term σ W2C- 1 d Ø 0, then get the parameters of the unbiased estimation. According to the model for noise, RCLS algorithm adaptive RLS better than.)
- 2012-12-28 15:57:51下载
- 积分:1
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mem
提供memeory的说明和支持。并提供EPLD的说明CODE(Provide memeory instructions and support. And provide a description of EPLD CODE)
- 2013-07-30 19:02:42下载
- 积分:1
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onlineSVM
一种在线SVM的实现,通过样本的取舍,我们可以将SVM运用动态建模当中(得有SVM工具箱的支持),该源码中包含有SVM工具箱和在线SVM的源程序(an online SVM achieved through the choice samples, SVM we will be able to use dynamic modeling them (SVM in a toolbox support) The source code contains SVM toolbox and online source SVM)
- 2020-06-28 17:40:02下载
- 积分:1