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/147682/5728068
m plot_invmodel.m
% plot_invmodel(w,h,e,D)
%
% Generates plots for evaluating the adaptive inverse
% modeling (equalization) problem.
%
% Input variables:
% w : estimated inverse model
% h : impulse r
www.eeworm.com/read/147682/5728166
m plot_model.m
% plot_model(w,h,e)
%
% Generates plots for evaluating the adaptive modeling problem.
%
% Input variables:
% w : estimated impulse response
% h : actual impulse response
% e : estim
www.eeworm.com/read/227966/6350247
txt readme.txt
For explanation of these toy examples, see
P. Salamon, P. Sibani, and R. Frost.
Facts, Conjectures, and Improvements for Simulated Annealing.
SIAM Monographs on Mathematical Modeling and Compu
www.eeworm.com/read/493843/6391472
txt readme.txt
This disk contains 36 m-files that are used
in the textbook
Monson H. Hayes,
"Statistical Digital Signal Processing and Modeling"
John Wiley & Sons, 1996
A detailed description of how to u
www.eeworm.com/read/485902/6549006
m ltc_mdlg.m
%
% Modeling using lattice and transversal structures.
% Comparison based on LMS algorithm.
%
% Last updated on April 28, 1998
%
itn=input('\n No. of iterations? ');
sigman2=input('\
www.eeworm.com/read/485902/6549014
m rlsi.m
%
% Modeling (Standard RLS Algorithm I - Table 12.1)
%
%
% Last updated on April 28, 1998
%
itn=input('\n No. of iterations? ');
sigman2=input('\n Variance of the plant noise? ');
www.eeworm.com/read/484851/6575696
txt readme.txt
For explanation of these toy examples, see
P. Salamon, P. Sibani, and R. Frost.
Facts, Conjectures, and Improvements for Simulated Annealing.
SIAM Monographs on Mathematical Modeling and Compu
www.eeworm.com/read/482293/6622417
m rayleigh_fading.m
% Program to simulate Rayleigh fading using a p-th order autoregressive model AR(p) according to
% Baddour's work: "Autoregressive modeling for fading channel simulation", IEEE Transaction on Wirele
www.eeworm.com/read/481049/6656933
txt rayleigh fading channel simulation.txt
% Program to simulate Rayleigh fading using a p-th order autoregressive model AR(p) according to
% Baddour's work: "Autoregressive modeling for fading channel simulation", IEEE Transaction on Wirele
www.eeworm.com/read/407141/11428529
m fdemfwd.m
function out = FDEMfwd(varargin);
% out = FDEMfwd(config, layers, cparams);
%
% FDEMfwd.m is part of the CR1Dmod forward modeling package, and contains
% the code used to calculate the response