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/291067/6302942
m doapar1.m
function [doaHat, sHat, Q, doaHatAllIt, sigma2] = doapar1(method, sigIn, doaStart, focusDist, rangeIx, cpiIx, in7, in8, in9)
%DOAPAR1 Parametric estimation of DOA with different methods.
%
%--------
www.eeworm.com/read/485902/6548995
m gtf14_3.m
%This is a VSLMS for estimation of a multipath channel.
%Here, we have considered a two path channel. The first
%path is fixed at \tau=2T. The second path starts at
%\tau=4T and slowly (over 100,00
www.eeworm.com/read/485902/6549001
m gtf14_4.m
%This is a VSLMS for estimation of a multipath channel.
%Here, we have considered a two path channel. The first
%path is fixed at \tau=2T. The second path starts at
%\tau=4T and slowly (over 100,00
www.eeworm.com/read/482347/6623165
m simuldati.m
function [svar] = simuldati(DR,RC,X,delta,valuta,legame,vm,t,p,tipo,rendimento)
%SIMULDATI simulvar estimation changing the numbers of data.
%
% [svar] = simuldati(DR,RC,X,delta,valuta,legame,vm,t,p,
www.eeworm.com/read/263516/11359219
m fm_lssest.m
function [Vest, angest, rangoH] = fm_lssest(pmu_con, I_idx, cal_inv)
% FM_LSSEST linear static state estimation using current PMU placement
%
% (...) = FM_LSSEST(...)
%
%This function is generall
www.eeworm.com/read/343762/11928522
m mvaar.m
function [x,e,Kalman,Q2] = mvaar(y,p,UC,mode,Kalman)
% Multivariate (Vector) adaptive AR estimation base on a multidimensional
% Kalman filer algorithm. A standard VAR model (A0=I) is implemented. The
www.eeworm.com/read/227522/14421553
m mvaar.m
function [x,e,Kalman,Q2] = mvaar(y,p,UC,mode,Kalman)
% Multivariate (Vector) adaptive AR estimation base on a multidimensional
% Kalman filer algorithm. A standard VAR model (A0=I) is implemented. The
www.eeworm.com/read/225852/14513439
m contents.m
%KALMTOOL
% A toolbox for state estimation in nonlinear systems.
%
%
%Filter functions
% dd1 - DD1-filter.
% dd1m - DD1-filter for systems with multiple observation streams.
% dd2
www.eeworm.com/read/124397/14569843
m stpitch.m
function Fp = stpitch(x,N,Pth,Zth,NFFT,R,Fs)
% stpitch --> Short-time pitch estimation.
%
%
% Fp = stpitch(x,N,Pth,Zth,NFFT,R,Fs)
%
%
% An initial voiced/unvoiced seg