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/464675/7067484
m fitting.m
function [Fy a]=Fitting(x,y,n)
%curve fitting, y=f(x)
%Fy is the estimation of y at x
%a is the coefficients of poly
%n is the order
%Weight w==1;
n1=n+1;
Fy=zeros(n1,1);
Lox=length(x);
%Aa=
www.eeworm.com/read/383268/7119623
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/444759/7607406
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/440404/7689818
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/437944/7739079
m contents.m
% Higher-Order Spectral Analysis Toolbox.
% Version 2.0.3 (R11) 10-Jul-1998
%
% New Features.
% Readme - Important release information about the HOSA Toolbox
% (double cli
www.eeworm.com/read/436945/7758466
m qda.m
function [f, c, post] = qda(X, k, prior, est, nu)
%QDA Quadratic Descriminant Analysis.
% F = QDA(X, K, PRIOR) returns a quadratic discriminant analysis
% object F based on the feature matrix X, c
www.eeworm.com/read/436945/7758485
m lda.m
function [f, c, post] = lda(X, k, prior, est, nu)
%LDA Linear Discriminant Analysis.
% F = LDA(X, K, PRIOR) returns a linear discriminant analysis object
% F based on the feature matrix X, class i
www.eeworm.com/read/436945/7758492
asv lda.asv
function [f, c, post] = lda(X, k, prior, est, nu)
%LDA Linear Discriminant Analysis.
% F = LDA(X, K, PRIOR) returns a linear discriminant analysis object
% F based on the feature matrix X, class i
www.eeworm.com/read/399996/7816805
m contents.m
% HMM's
% HMM_Backward - HMM backward algorithm
% HMM_Boltzmann - Find the transition matrices of an HMM using Boltzmann networks
% HMM_Decoding - Find probable states fro
www.eeworm.com/read/398819/7918735
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