代码搜索:Approach
找到约 1,300 项符合「Approach」的源代码
代码结果 1,300
www.eeworm.com/read/247726/12623536
m fpica.m
function [A, W] = fpica(X, whiteningMatrix, dewhiteningMatrix, approach, ...
numOfIC, g, finetune, a1, a2, myy, stabilization, ...
epsilon, maxNumIterations, maxFinetune, initState, ...
guess
www.eeworm.com/read/235187/14082443
m unidecor.m
function [H, Qaj] = unidecor(example)
%UNIDECOR Computes a decorrelating transformation as described in
% Liu et al. (1999) A new approach to GPS ambiguity
% decorrelation, Jou
www.eeworm.com/read/132535/14085714
m fpica.m
function [A, W] = fpica(X, whiteningMatrix, dewhiteningMatrix, approach, ...
numOfIC, g, finetune, a1, a2, myy, stabilization, ...
epsilon, maxNumIterations, maxFinetune, initState, ...
guess
www.eeworm.com/read/111805/15503019
java lottery.java
// Chapter 17 Exercise 7
/*
We have a different approach for the selection button tooltips and the tooltips
for the control buttons. For the former, we use the setToolTipText() method inherited
www.eeworm.com/read/106648/15631433
m fpica.m
function [A, W] = fpica(X, whiteningMatrix, dewhiteningMatrix, approach, ...
numOfIC, g, finetune, a1, a2, myy, stabilization, ...
epsilon, maxNumIterations, maxFinetune, initState, ...
guess
www.eeworm.com/read/182116/9216904
security
SECURITY - why zgv is setuid root, etc.
---------------------------------------
This file is an attempt to explain the approach zgv takes to security.
I know setuid binaries are scary things, but zgv
www.eeworm.com/read/374472/9404032
readme
This package contains software to find the threshold of an LDPC code in a
Gaussian channel using the Fast Enough Evolution of Densities (FEED)
algorithm. FEED is based on the approach of Jin and Ri
www.eeworm.com/read/273787/10901263
m efilter.m
% H = EFILTER(ALFA, STOPEDGE, PASSEDGE, ORDER)
%
% This program is to realize the Lowpass filter Algorithm of the paper
% 'Eigenfilters: A New Approach to Least-Squares FIR Filter Design and
% Ap
www.eeworm.com/read/448535/7531363
m hmmnorm.m
function d = hmmnorm(branchweight,y,state,nextstate)
%
% Compute the branch norm for the HMM using the Viterbi approach
%
% function d = hmmnorm(branchweight,y,state,nextstate)
%
% branchweight
www.eeworm.com/read/199981/7813814
m lda.m
function [eigvector, eigvalue, Y] = LDA(X,gnd)
% LDA: Linear discriminant analysis (Fisherfaces approach PCA+LDA)
%
% [eigvector, eigvalue] = LDA(X, gnd)
%
% Input:
%