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/352442/10552317
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/278180/10560452
m instfreq.m
function [fnormhat]=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 i
www.eeworm.com/read/159560/10639970
m torr_linear_etopx.m
% By Philip Torr 2002
% copyright Microsoft Corp.
%takes an essential matrix and a set of corrected matches, and outputs projection matrices, 3D points etc
%all via linear estimation; need camera
www.eeworm.com/read/350382/10745834
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/350382/10745967
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/349842/10796686
m minimum_cost.m
function D = Minimum_Cost(train_features, train_targets, lambda, region)
% Classify using the minimum error criterion via histogram estimation of the densities
% Inputs:
% features- Train featur
www.eeworm.com/read/349839/10797134
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/349839/10797141
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/349622/10813646
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/417999/10968875
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