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找到约 1,108 项符合「Statistical」的源代码
代码结果 1,108
www.eeworm.com/read/357136/10215693
m olsigest.m
function [ci,Pi]=osigest(R,i)
% LSIGEST Linear Signal Estimator for 1
www.eeworm.com/read/357136/10215720
m k2r.m
function r = k2r(k,P0)
% Lattice form to Autocorrelation Conversion
% ------------------------------------------
% r = k2r(k,P0)
% r = Autocorrelation values
% k = Lattice filter coefficients (
www.eeworm.com/read/357136/10215726
m miphapol.m
function b=miphapol(a)
% Converts the polynomial a into a minimum phase one.
%
% Programmed by: Dimitris Manolakis, 1995
%
%-----------------------------------------------------------
% Copyri
www.eeworm.com/read/458493/7295603
dat bearing.dat
Wear of a journal bearing versus temperature. Data from Example 13.3,
p. 385 in C. Lipson, and N.J. Sheth, "Statistical Design and Analysis of
Engineering Experiments", 1973, McGraw-Hill.
T(C)
www.eeworm.com/read/458488/7296028
dat bearing.dat
Wear of a journal bearing versus temperature. Data from Example 13.3,
p. 385 in C. Lipson, and N.J. Sheth, "Statistical Design and Analysis of
Engineering Experiments", 1973, McGraw-Hill.
T(C)
www.eeworm.com/read/144399/12797173
dat bearing.dat
Wear of a journal bearing versus temperature. Data from Example 13.3,
p. 385 in C. Lipson, and N.J. Sheth, "Statistical Design and Analysis of
Engineering Experiments", 1973, McGraw-Hill.
T(C)
www.eeworm.com/read/239550/13272736
m schurlg.m
function k=schurlg(r)
% function k=schurlg(r)
%
% Programmed by Dimitris Manolakis, January 2000
%
%-----------------------------------------------------------
% Copyright 2000, by Dimitris G. M
www.eeworm.com/read/239550/13272743
m a2r.m
function r = a2r(a,PM)
% Direct form to Autocorrelation Conversion
% -----------------------------------------
% r = a2r(a,PM)
% r = Autocorrelation values
% a = Lattice filter coefficients (re
www.eeworm.com/read/239550/13272746
m olsigest.m
function [ci,Pi]=osigest(R,i)
% LSIGEST Linear Signal Estimator for 1
www.eeworm.com/read/239550/13272780
m k2r.m
function r = k2r(k,P0)
% Lattice form to Autocorrelation Conversion
% ------------------------------------------
% r = k2r(k,P0)
% r = Autocorrelation values
% k = Lattice filter coefficients (