代码搜索：Approach
找到约 1,300 项符合「Approach」的源代码
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www.eeworm.com/read/199774/7823381
m program_09_4.m
% Program 9_4
% Computation of the output noise variance due
% to input quantization of a digital filter
% based on a partial-fraction approach
%
num = input('Type in the numerator = ');
den
www.eeworm.com/read/330884/12862197
txt readme.txt
This is a port of Paolo Losi WFQ scheduler for DiffServ
For more info about scheduler read paper:
"A Generalized Processor Sharing Approach to Flow Control in
Integrated Services Networks: The Single-
www.eeworm.com/read/316309/13525477
readme
Source code for:
A Practical Approach for Computing the Diameter of a Point-Set
Sariel Har-Peled
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU
www.eeworm.com/read/488119/6496939
m program_9_4.m
% Program 9_4
% Computation of the output noise variance due
% to input quantization of a digital filter
% based on a partial-fraction approach
%
num = input('Type in the numerator = ');
den
www.eeworm.com/read/488224/6498681
m program_12_4.m
% Program 12_4
% Computation of the Output Noise Variance Due
% to Input Quantization of a Digital Filter
% Based on a Partial-Fraction Approach
%
num = input('Type in the numerator = ');
den
www.eeworm.com/read/484605/6580692
pas main.pas
{
Written by TutTut
This is an approach to implement the
3d-Spacemouse to Delphi
i am not a so well programmer
therefore it doesn't work really because
there were different probl
www.eeworm.com/read/263889/11337733
m derivs.m
function [Y,T]=derivs(x,dim)
%Syntax: [Y,T]=derivs(x,dim)
%____________________________
%
% The phase space reconstruction of a time series x whith the derivatives approach,
% in embedding dime
www.eeworm.com/read/157516/11696983
m mdl_demo.m
% MDL_demo.m
%
% demo version for comparison between the MDL model selection and the GLRT approach
% in a one-dimensional detection problem using ML-PDA
disp('-------------------------------------
www.eeworm.com/read/343762/11928690
m demoperf.m
% Demonstrates the much higher performance
% of EARPYW.M compared to AR.M
% Both algoriths implemented the Yule-Walker approach
% for estimating the Autoregressive Parameters
% Version 2.43
%
www.eeworm.com/read/255925/12046114
m derivs.m
function [Y,T]=derivs(x,dim)
%Syntax: [Y,T]=derivs(x,dim)
%____________________________
%
% The phase space reconstruction of a time series x whith the derivatives approach,
% in embedding dime