代码搜索：continuous
找到约 2,697 项符合「continuous」的源代码
代码结果 2,697
www.eeworm.com/read/335534/3358517
m exa030101.m
%----------------------------------------------------------------------------
% exa030101, for example 3.1.1
% to obtain the Fourier coefficients of a continuous rectangle period signal;
% 计算连续方波周
www.eeworm.com/read/429426/1948762
py disc6.py
# Description: Manual categorization of continuous attributes.
# Category: preprocessing
# Uses: iris
# Classes: ClassifierFromVar, IntervalDiscretizer, getValueFrom
# Referenced: o
www.eeworm.com/read/256142/4370516
m exa030101.m
%----------------------------------------------------------------------------
% exa030101, for example 3.1.1
% to obtain the Fourier coefficients of a continuous rectangle period signal;
% 计算连续方波周
www.eeworm.com/read/154890/5632608
hh accumulator.hh
/********************************************************************************
output/accumulator.hh
Build continuous regions of image data from output stripes.
purpose:
notes:
to do
www.eeworm.com/read/389656/8509289
m falldemo.m
% ====================== Falling body example ===========================
% Details about the benchmark example can be found in the paper
% "Suboptimal state estimation for continuous-time nonlinear
www.eeworm.com/read/429558/8802909
m discretisation.m
function [EigenvectorsDiscrete,EigenVectors]=discretisation(EigenVectors)
%
% EigenvectorsDiscrete=discretisation(EigenVectors)
%
% Input: EigenVectors = continuous Ncut vector, size = ndata x n
www.eeworm.com/read/381017/9115291
m falldemo.m
% ====================== Falling body example ===========================
% Details about the benchmark example can be found in the paper
% "Suboptimal state estimation for continuous-time nonlinear
www.eeworm.com/read/183070/9179604
m falldemo.m
% ====================== Falling body example ===========================
% Details about the benchmark example can be found in the paper
% "Suboptimal state estimation for continuous-time nonlinear
www.eeworm.com/read/424538/10440108
m discretisation.m
function [EigenvectorsDiscrete,EigenVectors]=discretisation(EigenVectors)
%
% EigenvectorsDiscrete=discretisation(EigenVectors)
%
% Input: EigenVectors = continuous Ncut vector, size = ndata x n
www.eeworm.com/read/455967/7360644
m discretisation.m
function [EigenvectorsDiscrete,EigenVectors]=discretisation(EigenVectors)
%
% EigenvectorsDiscrete=discretisation(EigenVectors)
%
% Input: EigenVectors = continuous Ncut vector, size = ndata x n