代码搜索:Statistical

找到约 1,108 项符合「Statistical」的源代码

代码结果 1,108
www.eeworm.com/read/428608/8856195

m olsigest.m

function [ci,Pi]=osigest(R,i) % LSIGEST Linear Signal Estimator for 1
www.eeworm.com/read/428608/8856263

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/428608/8856278

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/282317/9102133

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/282317/9102143

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/282317/9102149

m olsigest.m

function [ci,Pi]=osigest(R,i) % LSIGEST Linear Signal Estimator for 1
www.eeworm.com/read/282317/9102233

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/282317/9102253

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/357136/10215688

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/357136/10215691

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