代码搜索：Modeling
找到约 1,801 项符合「Modeling」的源代码
代码结果 1,801
www.eeworm.com/read/349646/10809228
m cwr_demo.m
% Compare my code with
% http://www.media.mit.edu/physics/publications/books/nmm/files/index.html
%
% cwm.m
% (c) Neil Gershenfeld 9/1/97
% 1D Cluster-Weighted Modeling example
%
clear all
fi
www.eeworm.com/read/469416/6976135
m cwr_demo.m
% Compare my code with
% http://www.media.mit.edu/physics/publications/books/nmm/files/index.html
%
% cwm.m
% (c) Neil Gershenfeld 9/1/97
% 1D Cluster-Weighted Modeling example
%
clear all
fi
www.eeworm.com/read/242663/12994208
m addnoise.m
function m_noisy = addnoise(m,sigma)
% function [m2,n] = addnoise(m1,SNR_db)
% modeling a AWGN channel by adding some noise
% m: input signal
% SNT_db : SNR of the system in db
% m_noisy :
www.eeworm.com/read/140851/13058490
m cwr_demo.m
% Compare my code with
% http://www.media.mit.edu/physics/publications/books/nmm/files/index.html
%
% cwm.m
% (c) Neil Gershenfeld 9/1/97
% 1D Cluster-Weighted Modeling example
%
clear all
fi
www.eeworm.com/read/138798/13211490
m cwr_demo.m
% Compare my code with
% http://www.media.mit.edu/physics/publications/books/nmm/files/index.html
%
% cwm.m
% (c) Neil Gershenfeld 9/1/97
% 1D Cluster-Weighted Modeling example
%
clear all
fi
www.eeworm.com/read/239550/13272779
m arwin.m
function [a,V,FPE]=arwin(x,p)
% All-Pole (AR) modeling using Full-Windowing
% Linear least-squares
% Model parameters [1 a1...ap V]
% V=input signal variance.
% FPE=Akaike's final prediction erro
www.eeworm.com/read/136697/13365347
m modsuset.m
function [lib,c,areas] = modsuset(dec,range,no_of_sets,p1,p2)
% [lib,c,areas] = modsuset(dec,range,no_of_sets,p1,p2)
%
% Modeling of symetrical and unimodal trapezoidal fuzzy sets with the mouse.
% (
www.eeworm.com/read/147682/5728084
m asptarlmsnewt.m
% [k,w,b,u,P,y,e]=asptarlmsnewt(k,w,x,b,u,P,d,mu_p,mu_w,maxk)
%
% Efficient implementation of the LMS-Newton algorithm.
% ARLMSNEWT uses autoregressive modeling of length M
www.eeworm.com/read/349590/6291705
m arwin.m
function [a,V,FPE]=arwin(x,p)
% All-Pole (AR) modeling using Full-Windowing
% Linear least-squares
% Model parameters [1 a1...ap V]
% V=input signal variance.
% FPE=Akaike's final prediction erro
www.eeworm.com/read/158100/11643613
m arwin.m
function [a,V,FPE]=arwin(x,p)
% All-Pole (AR) modeling using Full-Windowing
% Linear least-squares
% Model parameters [1 a1...ap V]
% V=input signal variance.
% FPE=Akaike's final prediction erro