代码搜索:difference

找到约 3,389 项符合「difference」的源代码

代码结果 3,389
www.eeworm.com/read/392497/8339844

m costfuncmad.m

% Computes the Mean Absolute Difference (MAD) for the given two blocks % Input % currentBlk : The block for which we are finding the MAD % refBlk : the block w.r.t. which the MAD is being
www.eeworm.com/read/415311/11077201

m cartfunctions.m

function delta = CARTfunctions(split_point, features, targets, dim, split_type) %Calculate the difference in impurity for the CART algorithm Uc = unique(targets); for i = 1:length(Uc), in =
www.eeworm.com/read/414748/11104371

m costfuncmad.m

% Computes the Mean Absolute Difference (MAD) for the given two blocks % Input % currentBlk : The block for which we are finding the MAD % refBlk : the block w.r.t. which the MAD is being
www.eeworm.com/read/201318/15411101

xml treetest2.xml

www.eeworm.com/read/106690/15626522

m crossfold.m

% crossf() - Returns estimates and plot of event-related coherence (ERC) changes % between data from two input channels. The lower panel gives the % coherent phase difference bet
www.eeworm.com/read/106690/15626606

m crossf.m

% crossf() - Returns estimates and plots event-related coherence (ERCOH) % between two input data time series. A lower panel (optionally) shows % the coherence phase difference between
www.eeworm.com/read/103987/15715265

c kalman1.c

/* Kalman filter for estimating a random constant : i.e.,estimating a scalar random voltage. Measurements are corrupted by noise wth 0.1 Rms voltage. The process is governed by the difference
www.eeworm.com/read/189063/8492968

m deltax.m

function y=deltax(x); % % DELTAX(X) % % Function to return the difference between % successive row elements of an array. First % element of result array is zero. % % Differs from MATLAB sup
www.eeworm.com/read/433114/8545224

m diff.m

function ds=diff(ds,n,dim) % Function computes the sample-to-sample difference of the traces of a seismic dataset % See help for Matlab function "diff". Start and/or end times are changed in accordanc
www.eeworm.com/read/432633/8585460

f90 implicitscheme.f90

subroutine SchemeTwo(uOne,uZero,lenX,deltX,deltT,coeff) ! The difference scheme on page 140 ! Lag Nonlinear Term ! coeff is with the second order term ! integer,parameter :: maxLen=20 real uOn