代码搜索:linear

找到约 10,000 项符合「linear」的源代码

代码结果 10,000
www.eeworm.com/read/413546/11151003

vi move--linear.vi

www.eeworm.com/read/412814/11181762

m linear_fft.m

% File: linear_fft.m % Software given here is to accompany the textbook: W.H. Tranter, % K.S. Shanmugan, T.S. Rappaport, and K.S. Kosbar, Principles of % Communication Systems Simulation with Wir
www.eeworm.com/read/412814/11181769

m linear_psd.m

% File: linear_psd.m % Software given here is to accompany the textbook: W.H. Tranter, % K.S. Shanmugan, T.S. Rappaport, and K.S. Kosbar, Principles of % Communication Systems Simulation with Wir
www.eeworm.com/read/411730/11230874

h icc_linear.h

/* * Copyright 2003 by Texas Instruments Incorporated. * All rights reserved. Property of Texas Instruments Incorporated. * Restricted rights to use, duplicate or disclose this code are *
www.eeworm.com/read/249703/12479019

m linear_dyn.m

% linear_dyn.m % returns an offset that can be added to data that increases linearly with % time, based on cputime, first time it is called is start time % % equation is: offset = (cputime - tnot)
www.eeworm.com/read/148105/12493787

cpp linear1.cpp

// linear1.cpp: implementation of the linear class. // ////////////////////////////////////////////////////////////////////// #include "linear1.h" /////////////////////////////////////////////
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h linear1.h

// linear1.h: interface for the linear class. // ////////////////////////////////////////////////////////////////////// #if !defined(AFX_LINEAR1_H__5CE3A7A5_959F_45AC_BEFA_3C79AC7C41F9__INCLUDED_
www.eeworm.com/read/148104/12493870

cpp linear1.cpp

// linear1.cpp: implementation of the linear class. // ////////////////////////////////////////////////////////////////////// #include "linear1.h" /////////////////////////////////////////////
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h linear1.h

// linear1.h: interface for the linear class. // ////////////////////////////////////////////////////////////////////// #if !defined(AFX_LINEAR1_H__5CE3A7A5_959F_45AC_BEFA_3C79AC7C41F9__INCLUDED_
www.eeworm.com/read/147186/12578630

m linear_regression.m

function [muY, SigmaY, weightsY] = linear_regression(X, Y, varargin) % LINEAR_REGRESSION Fit params for P(Y|X) = N(Y; W X + mu, Sigma) % % X(:, t) is the t'th input example % Y(:, t) is the t't