代码搜索:ESTIMATION
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www.eeworm.com/read/492363/6421792
m chap7_10f.m
%Discrete Kalman filter
%x=Ax+B(u+w(k));
%y=Cx+D+v(k)
function [u]=kalman(u1,u2,u3)
persistent A B C D Q R P x
yv=u2;
if u3==0
x=zeros(2,1);
ts=0.001;
a=25;b=133;
sys=tf(b,[1,a
www.eeworm.com/read/490601/6449470
m chap7_10f.m
%Discrete Kalman filter
%x=Ax+B(u+w(k));
%y=Cx+D+v(k)
function [u]=kalman(u1,u2,u3)
persistent A B C D Q R P x
yv=u2;
if u3==0
x=zeros(2,1);
ts=0.001;
a=25;b=133;
sys=tf(b,[1,a
www.eeworm.com/read/488312/6492157
m rls.m
% RLS Algorithm
randn('seed', 0) ;
rand('seed', 0) ;
NoOfData = 8000 ; % Set no of data points used for training
Order = 32 ; % Set the adaptive filter order
Lambda = 0.98 ; % Set the
www.eeworm.com/read/488224/6498638
m program_15_4.m
% Program 15_4
% Power Spectrum Estimation Using Welch's Method
%
n = 0:1000;
g = 2*sin(0.12*pi*n) + sin(0.28*pi*n) + randn(size(n));
nfft = input('Type in the fft size = ');
window = hamming(25
www.eeworm.com/read/485544/6552813
readme
-- ReBEL : Recursive Bayesian Estimation Library --
A Matlab toolkit for Recursive Bayesian Estimation
Copyright 2002, Rudolph van der Merwe
1) WHAT IS ReBEL ?
Re
www.eeworm.com/read/484955/6569523
m rls_demo.m
% RLS Algorithm
randn('seed', 0) ;
rand('seed', 0) ;
NoOfData = 8000 ; % Set no of data points used for training
Order = 32 ; % Set the adaptive filter order
Lambda = 0.98 ; % Set the forgetting
www.eeworm.com/read/484955/6569528
m nlms_demo.m
% Normalized LMS Algorithm
randn('seed', 0) ;
rand('seed', 0) ;
NoOfData = 8000 ; % Set no of data points used for training
Order = 32 ; % Set the adaptive filter order
Mu = 1.0 ; % Set the step
www.eeworm.com/read/479088/6699287
m weibmen.m
function [bh,ah] = weibmen(x);
%
% Estimation of Weibull parameters using the
% method of Menon.
%
[m n] = size(x);
leng=length(x);
if m ~= leng
temp=m;
m = n;
n = temp
www.eeworm.com/read/476539/6755735
m chap7_10f.m
%Discrete Kalman filter
%x=Ax+B(u+w(k));
%y=Cx+D+v(k)
function [u]=kalman(u1,u2,u3)
persistent A B C D Q R P x
yv=u2;
if u3==0
x=zeros(2,1);
ts=0.001;
a=25;b=133;
sys=tf(b,[1,a
www.eeworm.com/read/264746/11302989
m ncoeff2.m
%
% Bandpass filter length estimation
% Ncoeff2.m Problem 7.5, p426.
%
df=3/96;
dp=0.00115; ds=0.0001;
b1=0.01202; b2=0.09664; b3=-0.51325;
b4=0.00203; b5=-0.5705; b6=-0.44314;
t1=log10(dp);