代码搜索：Non-linear
找到约 518 项符合「Non-linear」的源代码
代码结果 518
www.eeworm.com/read/290607/8472600
m check1.m
%CHECK script to compare M-file and MEX-file versions of RNE
% load the model and remove non-linear friction
rdh = nofriction(rdh, 'coulomb');
rmdh = nofriction(rdh, 'coulomb');
% number of trials
n
www.eeworm.com/read/450608/7480434
m nlfisherm.m
%NLFISHERM Non-linear Fisher Mapping according to Marco Loog
%
% W = NLFISHERM(A,N)
%
% INPUT
% A Dataset
% N Number of dimensions (optional; default: MIN(K,C)-1, where
% K is the di
www.eeworm.com/read/298274/7969360
m truth.m
function T = truth(seed);
%
% Generate truth signals
%
% Input:
% seed: random number seed (allows it to generate repeatable results)
%
% Output:
% T: truth struct with fields...
% L: actual levels
www.eeworm.com/read/244958/12828780
m truth.m
function T = truth(seed);
%
% Generate truth signals
%
% Input:
% seed: random number seed (allows it to generate repeatable results)
%
% Output:
% T: truth struct with fields...
% L: actual levels
www.eeworm.com/read/243539/12935385
m check1.m
%CHECK script to compare M-file and MEX-file versions of RNE
% load the model and remove non-linear friction
rdh = nofriction(rdh, 'coulomb');
rmdh = nofriction(rdh, 'coulomb');
% number of trials
n
www.eeworm.com/read/137160/13342350
m nlfisherm.m
%NLFISHERM Non-linear Fisher Mapping according to Marco Loog
%
% W = NLFISHERM(A,N)
%
% INPUT
% A Dataset
% N Number of dimensions (optional; default: MIN(K,C)-1, where
% K is the di
www.eeworm.com/read/319474/13451149
m truth.m
function T = truth(seed);
%
% Generate truth signals
%
% Input:
% seed: random number seed (allows it to generate repeatable results)
%
% Output:
% T: truth struct with fields...
% L: actual levels
www.eeworm.com/read/314653/13562562
m nlfisherm.m
%NLFISHERM Non-linear Fisher Mapping according to Marco Loog
%
% W = NLFISHERM(A,N)
%
% INPUT
% A Dataset
% N Number of dimensions (optional; default: MIN(K,C)-1, where
% K is the di
www.eeworm.com/read/493294/6400323
m nlfisherm.m
%NLFISHERM Non-linear Fisher Mapping according to Marco Loog
%
% W = NLFISHERM(A,N)
%
% INPUT
% A Dataset
% N Number of dimensions (optional; default: MIN(K,C)-1, where
% K is the di
www.eeworm.com/read/491031/6439315
m truth.m
function T = truth(seed);
%
% Generate truth signals
%
% Input:
% seed: random number seed (allows it to generate repeatable results)
%
% Output:
% T: truth struct with fields...
% L: actual levels