代码搜索:ESTIMATION

找到约 3,786 项符合「ESTIMATION」的源代码

代码结果 3,786
www.eeworm.com/read/372037/9523944

m d_rivdl.m

%D_RIVDL HOSA Demo: Adaptive AR parameter estimation - Lattice form % echo off % A. Swami Oct 18, 1997. % Copyright (c) 1991-2001 by United Signals & Systems, Inc. % $Revision: 1.7
www.eeworm.com/read/356808/10221050

m demtde.m

%D_TDELAY HOSA Demo: Time Delay Estimation (TDE) echo off % demos of tde, tdeb, tder (tdegen) % A. Swami April 15, 1993 % Copyright (c) 1991-2001 by United Signals & Systems, Inc. %
www.eeworm.com/read/356808/10221079

m d_ar.m

%D_AR HOSA Demo: Linear Processes - Parametric (AR) model estimation % Demo of arrcest echo off % A. Swami Oct 18, 1997. % Copyright (c) 1991-2001 by United Signals & Systems, Inc. %
www.eeworm.com/read/356808/10221104

m d_rivdl.m

%D_RIVDL HOSA Demo: Adaptive AR parameter estimation - Lattice form % echo off % A. Swami Oct 18, 1997. % Copyright (c) 1991-2001 by United Signals & Systems, Inc. % $Revision: 1.7
www.eeworm.com/read/146545/6956199

m detect.m

function varargout = detect(sig_down,dlt,slt,ch_coefs,varargin) %DETECT Multidimensional data detector. % D_E = DETECT(S,DLT,SLT,ALPHA) performs the maximum likelihood % sequence estimation (MLSE
www.eeworm.com/read/466230/7041262

m ms_ar_lik.m

% Likelihood Function for MS(k) AR(p) Estimation function [sumlik,Output,logLikVec]=MS_AR_Lik(x,param,ar,k,distrib,disp,useMex) nr=length(x); % Organizing Coeffs for each state % The order i
www.eeworm.com/read/459795/7264651

m detect.m

function varargout = detect(sig_down,dlt,slt,ch_coefs,varargin) %DETECT Multidimensional data detector. % D_E = DETECT(S,DLT,SLT,ALPHA) performs the maximum likelihood % sequence estimation (MLSE
www.eeworm.com/read/450295/7486054

m ms_ar_lik.m

% Likelihood Function for MS(k) AR(p) Estimation function [sumlik,Output,logLikVec]=MS_AR_Lik(x,param,ar,k,distrib,disp,useMex) nr=length(x); % Organizing Coeffs for each state % The order i
www.eeworm.com/read/396487/8103369

m rfmatrix.m

function [m,mx,my]=rfmatrix(rf,x,y,flagx,flagy) % rfmatrix - rain flow matrix estimation % % function [m,mx,my] = rfmatrix(rf,x,y,flagx,flagy) % % Syntax: rfmatrix(rf) % rfmatrix(rf,x,
www.eeworm.com/read/241192/13164259

m obsup.m

function [x,P] = obsup[x,P,z,H,R] % % function [x,P] = obsup[x,P,z,H,R] % % Performs Kalman filter observational update of state vector, x % and the associated covriance matrix of estimation unce