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/229435/14339323
m ofdm_cfo1.m
%% generate the OFDM data using for blind timing estimation;
clear all;
close all;
clc;
%% load the original state of random squence;
load randn_set_file_y5
%% the original state of un
www.eeworm.com/read/229435/14339325
m ofdm_cfo1_a.m
%% generate the OFDM data using for blind timing estimation;
clear all;
close all;
clc;
%% load the original state of random squence;
load randn_set_file_y5
%% the original state of un
www.eeworm.com/read/228052/14401774
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/228052/14401776
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/227522/14421627
m mvar.m
function [ARF,RCF,PE,DC,varargout] = mvar(Y, Pmax, Mode);
% MVAR estimates Multi-Variate AutoRegressive model parameters
% Several estimation algorithms are implemented, all estimators
% can handle d
www.eeworm.com/read/220289/14843716
m demse2.m
% DEMSE2 Demonstrate state estimation on a simple scalar nonlinear (time variant) problem
%
% See also
% GSSM_N1
% Copyright (c) Rudolph van der Merwe (2002)
%
% This file is part of
www.eeworm.com/read/117859/14901978
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/117859/14902138
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/218840/14904574
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/216698/14997339
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)