代码搜索：ESTIMATION
找到约 3,786 项符合「ESTIMATION」的源代码
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www.eeworm.com/read/163161/10172719
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/357506/10208374
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/355337/10275097
m kf_cwpa_demo.m
% Demonstration for Kalman filter and smoother using a 2D CWPA model
%
% Copyright (C) 2007 Jouni Hartikainen
%
% This software is distributed under the GNU General Public
% Licence (version 2 or lat
www.eeworm.com/read/355237/10284274
m kf_cwpa_demo.m
% Demonstration for Kalman filter and smoother using a 2D CWPA model
%
% Copyright (C) 2007 Jouni Hartikainen
%
% This software is distributed under the GNU General Public
% Licence (version 2 or lat
www.eeworm.com/read/280595/10312414
m contents.m
% Probability distribution functions.
%
% estimation - (dir) Probability distribution estimation.
%
% erfc2 - Normal cumulative distribution function.
% gmmsamp - Generates sample from Gau
www.eeworm.com/read/424743/10420326
m randompoint.m
function ind = randompoint(prob, n)
%RANDOMNEW to generate n new point randomly from the mop problem given.
if (nargin==1)
n=1;
end
randarray = rand(prob.pd, n);
lowend = prob.domain(:,1);
span
www.eeworm.com/read/160223/10555806
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/160223/10555826
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