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/485544/6552623
m demse1.m
% DEMSE1 Demonstrate state estimation on a simple 2nd order LTI system.
%
% This is a simple demonstration of how to use the ReBEL toolkit for state estimation on
% a simple 2nd order LTI syst
www.eeworm.com/read/485544/6552625
m demse3.m
% DEMSE3 Demonstrate nonlinear time series state estimation for Mackey-Glass chaotic time series
%
% The Mackey-Glass time-delay differential equation is defined by
%
% dx(t)/dt = 0.2x(t-
www.eeworm.com/read/482678/6621220
m contents.m
% Image Registration Tools.
% Last update: 2/9/99
% Authors: David Heeger, heeger@stanford.edu
% Oscar Nestares, oscar@white.stanford.edu
%
% See README file for brief description.
%
www.eeworm.com/read/481617/6636562
m gl.m
function glb = gl
%gl:global parameters
%set the parameters used in the simulation
%downlink's parameters
global glb;
%部分暂时修改，否则需要改编整个程序（wangyuan.2007.3.2）
%glb.ka = 1;%BS with one
www.eeworm.com/read/478401/6716218
m potter.m
function [xout,Cout] = potter(z,R,H,xin,Cin)
%
% James H. Potter's square root filtering algorithm
% for the observational update of a Cholesky factor
% of the covariance matrix of state estimatio
www.eeworm.com/read/264046/11331592
m darxopt.m
function [NVR,opts,separ] = darxopt(y,u,nn,IRW,method,nvr,nvr0,opts,ALG,output,P0)
% DARXOPT Hyper-parameter estimation for DARX
%
% [nvr,opts,parse]=darxopt(y,u,nn,TVP,meth,nvrc,nvr0,opts,ALG,tab
www.eeworm.com/read/264046/11331637
m dtfmopt.m
function [NVR,opts,separ] = dtfmopt(y,u,nn,IRW,method,nvr,nvr0,opts,ALG,output,P0)
% DTFMOPT Hyper-parameter estimation for DTFM
%
% [nvr,opts,parse]=dtfmopt(y,u,nn,TVP,meth,nvrc,nvr0,opts,ALG,tab
www.eeworm.com/read/264046/11331716
m dlropt.m
function [NVR,ALPHA,opts,separ] = dlropt(y,z,IRW,method,nvr,alpha,nvr0,alpha0,opts,ALG,output,P0,p);
% DLROPT Hyper-parameter estimation for DLR
%
% [nvr,alpha,opts,parse]=dlropt(y,z,TVP,meth,nvrc
www.eeworm.com/read/402094/11543210
m beamform.m
function phi=beamform(Y,L,d)
%
% The Beamforming method for direction of arrival estimation
%
% phi=beamform(Y,L,d);
%
% Y
www.eeworm.com/read/402094/11543216
m bartlettse.m
function phi=bartlettse(y,M,L)
%
% The Bartlett method of spectra estimation.
%
% phi=bartlettse(y,M,L);
%
% y -> the data vector
% M -> the length of subsequences of y
% L -> the numbe