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/158037/11648305
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/259241/11812595
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/155543/11864138
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/232058/14209452
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/13871/284317
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/231546/4715186
vim takout.vim
" Vim syntax file
" Language: TAK2, TAK3, TAK2000 thermal modeling output file
" Maintainer: Adrian Nagle, anagle@ball.com
" Last Change: 2001-05-02 16:09:17 Mountain Daylight Time
" Filenames:
www.eeworm.com/read/231546/4715334
vim takcmp.vim
" Vim syntax file
" Language: TAK2, TAK3, TAK2000 thermal modeling compare file
" Maintainer: Adrian Nagle, anagle@ball.com
" Last Change: 2001-05-02 10:18:11 Mountain Daylight Time
" Filenames
www.eeworm.com/read/303435/3812608
psdemo3
#! /bin/sh
# PSDemo3 --- example script for sufdmod2
# finite-difference modeling: display model and movie
# Author: John Stockwell
# modified from XDemo3 by Chris Liner 2/11/02
# (also added 2x2 smoo
www.eeworm.com/read/364212/2907580
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 :