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/270946/11018926
m bispecd.m
function [Bspec,waxis] = bispecd (y, nfft, wind, nsamp, overlap)
%BISPECD Bispectrum estimation using the direct (fft-based) approach.
% [Bspec,waxis] = bispecd (y, nfft, wind, segsamp, overlap)
www.eeworm.com/read/383268/7119636
m sgrpdlay.m
function [gd,fnorm]=sgrpdlay(x,fnorm);
%SGRPDLAY Group delay estimation of a signal.
% [GD,FNORM]=SGRPDLAY(X,FNORM) estimates the group delay of
% signal X at the normalized frequency(ies) FNORM.
%
%
www.eeworm.com/read/383268/7119638
m instfreq.m
function [fnormhat,t]=instfreq(x,t,L,trace);
%INSTFREQ Instantaneous frequency estimation.
% [FNORMHAT,T]=INSTFREQ(X,T,L,TRACE) computes the instantaneous
% frequency of the analytic signal X at time
www.eeworm.com/read/444759/7607405
m instfreq.m
function [fnormhat,t]=instfreq(x,t,L,trace);
%INSTFREQ Instantaneous frequency estimation.
% [FNORMHAT,T]=INSTFREQ(X,T,L,TRACE) computes the instantaneous
% frequency of the analytic signal X at time
www.eeworm.com/read/444759/7607477
m sgrpdlay.m
function [gd,fnorm]=sgrpdlay(x,fnorm);
%SGRPDLAY Group delay estimation of a signal.
% [GD,FNORM]=SGRPDLAY(X,FNORM) estimates the group delay of
% signal X at the normalized frequency(ies) FNORM.
%
%
www.eeworm.com/read/441424/7670571
m k_dd3.m
%function k_dd3(sv)
%K_DD3 Kalman Filter for Estimation of Ambiguities (with I = 0)
% Double differenced code and phase observations
% SV is the satellite to be differenced with ref. sat
www.eeworm.com/read/440404/7689830
m sgrpdlay.m
function [gd,fnorm]=sgrpdlay(x,fnorm);
%SGRPDLAY Group delay estimation of a signal.
% [GD,FNORM]=SGRPDLAY(X,FNORM) estimates the group delay of
% signal X at the normalized frequency(ies) FNORM.
%
%
www.eeworm.com/read/440404/7689832
m instfreq.m
function [fnormhat,t]=instfreq(x,t,L,trace);
%INSTFREQ Instantaneous frequency estimation.
% [FNORMHAT,T]=INSTFREQ(X,T,L,TRACE) computes the instantaneous
% frequency of the analytic signal X at time
www.eeworm.com/read/439462/7708307
m yulewalker.m
function [a,sig2]=yulewalker(y,n)
%
% The Yule-Walker method for AR spectral estimation, given
% by equation (3.4.2).
%
% [a,sig2]=yulewalker(y,n);
%
% y -> the data vector
% n
www.eeworm.com/read/438091/7736747
m ch4_1h.m
% Select a demo number: 9
% In this demo we consider spectrum estimation, using Marple's
% test case (The complex data in L. Marple: S.L. Marple, Jr,
% Digital Spectral Analysi