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/430527/8740498
m demadapt.m
%DEMADAPT HOSA Toolbox Demo: Adaptive AR parameter estimation
%
echo off
% demo of RIVDL and RIVTR (which call IVCAL)
% A. Swami April 15, 1993, Nov 15, 1994.
% Copyright (c) 1991-2001 by Unit
www.eeworm.com/read/285121/8867426
m netamfinal.m
%% Discrete Energy Separation Algorithm 1(DESA-1)for estimation purpose on an AM signal.
%we are considering 512 samples of AM Signal given by the following equation:
k=0.8;
w=pi/128;
q=pi/6;
f
www.eeworm.com/read/284309/8945830
m ifestar2.m
function [fnorm,t,rejratio]=ifestar2(x,t);
%IFESTAR2 Instantaneous frequency estimation using AR2 modelisation.
% [FNORM,T2,RATIO]=IFESTAR2(X,T) computes an estimate of the
% instantaneous freq
www.eeworm.com/read/283938/8978617
m demadapt.m
%DEMADAPT HOSA Toolbox Demo: Adaptive AR parameter estimation
%
echo off
% demo of RIVDL and RIVTR (which call IVCAL)
% A. Swami April 15, 1993, Nov 15, 1994.
% Copyright (c) 1991-2001 by Unit
www.eeworm.com/read/372037/9523877
m demadapt.m
%DEMADAPT HOSA Toolbox Demo: Adaptive AR parameter estimation
%
echo off
% demo of RIVDL and RIVTR (which call IVCAL)
% A. Swami April 15, 1993, Nov 15, 1994.
% Copyright (c) 1991-2001 by Unit
www.eeworm.com/read/371636/9544125
m ifestar2.m
function [fnorm,t,rejratio]=ifestar2(x,t);
%IFESTAR2 Instantaneous frequency estimation using AR2 modelisation.
% [FNORM,T2,RATIO]=IFESTAR2(X,T) computes an estimate of the
% instantaneous freq
www.eeworm.com/read/356808/10221065
m demadapt.m
%DEMADAPT HOSA Toolbox Demo: Adaptive AR parameter estimation
%
echo off
% demo of RIVDL and RIVTR (which call IVCAL)
% A. Swami April 15, 1993, Nov 15, 1994.
% Copyright (c) 1991-2001 by Unit
www.eeworm.com/read/159513/10644921
cpp timesynctrack.cpp
/******************************************************************************\
* Technische Universitaet Darmstadt, Institut fuer Nachrichtentechnik
* Copyright (c) 2001
*
* Author(s):
* Volker
www.eeworm.com/read/143425/6930483
m arqr.m
function [R, scale]=arqr(v, p, mcor)
%ARQR QR factorization for least squares estimation of AR model.
%
% [R, SCALE]=ARQR(v,p,mcor) computes the QR factorization needed in
% the least squares estima
www.eeworm.com/read/461062/7235121
m toa_ls.m
function [ex,ey, cost]=TOA_LS(radius,bx,by,d)
% estimate the position by TOA Least Square technology
% source:
% IEEE signal processing magazine,July 2005
% "network-based wireless location"
% in