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source
This derivation of the normalised least mean square algorithm is based on Farhang-
Boroujeny 1999, pp.172-175, and Diniz 1997, pp 150-3. To derive the NLMS algorithm
we consider the standard LMS recursion, for which we select a variable step size
parameter, μ(n). This parameter is selected so that the error value , e+(n), will be
- 2011-01-12 17:04:12下载
- 积分:1
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boqingwen
对二阶rc等效电池模型运用matlab进行最小二乘法在线系统辨识的程序(Equivalent second-order rc battery model using least squares method matlab online system identification procedures
)
- 2020-09-12 16:28:01下载
- 积分:1
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s2source
Hello my name is Kev i Coding in the PUFF
- 2014-09-04 14:40:35下载
- 积分:1
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fuzzy2
说明: FUZZY LOGIC gaussian function /triangular function
- 2019-05-01 22:27:39下载
- 积分:1
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CPP-progaram-example
C++ 学习基础源码程序,帮助初学者快速掌握C++的基本使用及基础的编码技巧(Learn basic c++ source program, to help beginners quickly grasp the basic use of c++ and basic coding techniques)
- 2014-11-28 10:12:00下载
- 积分:1
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Matlab
matlab数理统计数据箱 学习matlab很有用(matlab mathematics matlab statistical data useful for me to learn)
- 2008-05-15 21:08:32下载
- 积分:1
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Parameter-Optimizati
Parameter Optimization of AC Rectangular Wave Outputs for Aluminum Cold Wire GTAW.docx
- 2013-11-26 10:54:45下载
- 积分:1
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lixiecaowen
利用matlab求解系列商用车的操纵稳定性,其结果收敛性良好。(Using matlab to solve a series of commercial vehicle handling and stability, the result of good convergence.)
- 2012-08-15 11:44:14下载
- 积分:1
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mm
说明: 用于最小二乘法进行曲线拟合的MATLAB源代码(Curve fitting)
- 2010-09-28 11:36:41下载
- 积分:1
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HSJZ
function [ H ,S ] = HS( f )
UNTITLED2 Summary of this function goes here
Detailed explanation goes here
syms x1 x2
f1=diff(f,x1)
f2=diff(f,x2)
S= [f1 f2]
H = [diff(f1,x1) diff(f1,x2) diff(f2,x1) diff(f2,x2)]
end
s0=subs(S,findsym(S),[0 0])(function [H, S] = HS (f) UNTITLED2 Summary of this function goes here Detailed explanation goes here syms x1 x2 f1 = diff (f, x1) f2 = diff (f, x2) S = [f1 f2] H = [diff (f1, x1) diff (f1, x2) diff (f2, x1) diff (f2, x2)] end s0 = subs (S, findsym (S), [0 0 ]))
- 2013-04-11 23:40:13下载
- 积分:1