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filter
this document present how we use butterworth ,chybi1,chiby2 and recursif fiter using matlab
- 2009-09-30 14:23:17下载
- 积分:1
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111111
这是关于如何使用MATLAB的一个PPT,希望对大家有帮助(failed to translate)
- 2010-05-19 14:39:12下载
- 积分:1
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pts_ccdf
用PTS降低PAPA的仿真源代码,试过了不错,是转发的(PTS reduce the simulation with the source code PAPA)
- 2010-08-09 09:06:25下载
- 积分:1
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floyd
一个很好用的弗洛伊德算法,对解决有向图的最短距离一招致命。(FLOYD method)
- 2010-09-18 18:55:45下载
- 积分:1
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MATLAB
matlab实现4阶龙格库塔的一个示例,分为三个子函数来调用(Matlab 4 order LongGe coulthard s a sample)
- 2012-04-18 21:44:20下载
- 积分:1
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sinorder
为sinudoidal模型的AIC阶估计.AIC信息准则即Akaike information criterion,是衡量统计模型拟合优良性的一种标准,又由于它为日本统计学家赤池弘次创立和发展的,因此又称赤池信息量准则。它建立在熵的概念基础上,可以权衡所估计模型的复杂度和此模型拟合数据的优良性。
在一般的情况下,AIC可以表示为: AIC=2k-2ln(L)
其中:k是参数的数量,L是似然函数。 假设条件是模型的误差服从独立正态分布。 让n为观察数,RSS为剩余平方和,那么AIC变为: AIC=2k+nln(RSS/n)
增加自由参数的数目提高了拟合的优良性,AIC鼓励数据拟合的优良性但是尽量避免出现过度拟合(Overfitting)的情况。所以优先考虑的模型应是AIC值最小的那一个。赤池信息准则的方法是寻找可以最好地解释数据但包含最少自由参数的模型。(AIC order estimation for sinudoidal model)
- 2013-12-05 13:18:54下载
- 积分:1
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engine
利用matlab/simulink搭建的简单的发动机模型。(Using the matlab/simulink to build a simple engine model.)
- 2013-08-20 14:39:27下载
- 积分:1
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bottom_up_segmentation
这是TD算法的逆过程,首先将时间序列,划分为相邻点的短序列,当然此时的拟合误差为0,因为第一点和第二点的连线,原始点都落在线段上。将相邻两个线段连接起来,此时每条线段包含三个原始点,计算中间那个点的拟合误差。这样,所有这些三个点的线段中的中间点的拟合误差计算出来后,找出误差最小且误差小于阀值R的分段,作为第一条包含三个点的线段。 在上面的基础上,第一条分段同样的和相邻线段连接,然后计算每一条分段的拟合误差,再找出误差最小且小于阀值R的分段,作为第二个分段。依次方式循环,直到所有分段的拟合误差都小于阀值R,分段结束。
(This is the reverse process of TD algorithm, the first time series is divided into short sequences adjacent dots, of course fitting error is zero at this time, because the first and second points of connection, the original point fall line on. The two adjacent segments are connected, then each segment contains three original point, the intermediate fitting error calculated that point. Thus, after all these segments fitting error of three points in the intermediate point calculated to find the minimum error and the error is less than the threshold R segment, as the first line contains three points. Based on the above, the first segment and the adjacent line segment connecting the same, and then calculate a fitting error for each segment, and then find the smallest error and less than the threshold R segment, as the second segment . Followed by a cyclic manner until all segments fitting error is less than the threshold R, segment ends.)
- 2021-03-20 16:29:18下载
- 积分:1
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Modified-lms-algorithm
修正的lms算法,我做毕设的资料,希望对大家有帮助(Modified lms algorithm, I do complete data set, we want to help)
- 2011-05-15 20:28:59下载
- 积分:1
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emd
希尔伯特黄变换的matlab讲解,英文版的(Hilbert-Huang transform matlab to explain, in English)
- 2013-04-28 10:46:57下载
- 积分:1