代码搜索：ESTIMATION
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www.eeworm.com/read/333652/12666770
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/333326/12686797
m capon_sp.m
function phi=capon_sp(Y,L,d)
%
% The Capon method for direction of arrival estimation.
%
% phi=capon_sp(Y,L,d);
%
% Y
www.eeworm.com/read/246998/12693483
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/330723/12873702
summary pinball.pow.summary
PowerPlay Power Analyzer Status : Successful - Wed May 30 16:16:18 2007
Quartus II Version : 5.1 Build 176 10/26/2005 SJ Full Version
Revision Name : Pinball
Top-level Entity Name : input
Family :
www.eeworm.com/read/137160/13342245
m parzenml.m
%PARZENML Optimum smoothing parameter in Parzen density estimation.
%
% H = PARZENML(A,FID)
%
% INPUT
% A input dataset
% FID File ID to write progress to (default [], see PRPROGRESS)
%
%
www.eeworm.com/read/322647/13372337
m adapteq.m
%
% Basic adaptive equalization using LMS and RLS.
%
% By Andreas Jakobsson, 040306.
clear; close all;
% Initialize parameters.
NoTrials = 200; % Number of independent trials.
var_v
www.eeworm.com/read/320130/13432587
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/315013/13553917
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/314653/13562507
m parzenml.m
%PARZENML Optimum smoothing parameter in Parzen density estimation.
%
% H = PARZENML(A,FID)
%
% INPUT
% A input dataset
% FID File ID to write progress to (default [], see PRPROGRESS)
%
%