代码搜索：gdata
找到约 456 项符合「gdata」的源代码
代码结果 456
www.eeworm.com/read/231181/14248801
hpp xyz2ned.hpp
/**
* @file XYZ2NED.hpp
* This is a class to change the reference base from ECEF XYZ to topocentric North-East-Down (NED).
*/
#ifndef XYZ2NED_HPP
#define XYZ2NED_HPP
//==========================
www.eeworm.com/read/231181/14249097
hpp xyz2neu.hpp
/**
* @file XYZ2NEU.hpp
* This is a class to change the reference base from ECEF XYZ to topocentric North-East-Up (NEU).
*/
#ifndef XYZ2NEU_HPP
#define XYZ2NEU_HPP
//============================
www.eeworm.com/read/388251/8622556
hpp solverlms.hpp
#pragma ident "$Id: $"
/**
* @file SolverLMS.hpp
* Class to compute the Least Mean Squares Solution
*/
#ifndef SOLVERLMS_HPP
#define SOLVERLMS_HPP
//=============================================
www.eeworm.com/read/388251/8622570
hpp licsdetector.hpp
/**
* @file LICSDetector.hpp
* This is a class to detect cycle slips using LI observables.
*/
#ifndef LICSDETECTOR_GPSTK
#define LICSDETECTOR_GPSTK
//============================================
www.eeworm.com/read/388251/8622793
hpp computetropmodel.hpp
#pragma ident "$Id: $"
/**
* @file ComputeTropModel.hpp
* This is a class to compute the basic parts of a GNSS model, i.e.:
* Geometric distance, relativity correction, satellite position at
* tr
www.eeworm.com/read/388251/8623387
hpp computelinear.hpp
#pragma ident "$Id: $"
/**
* @file ComputeLinear.hpp
* This class computes linear combinations of GDS data.
*/
#ifndef COMPUTELINEAR_HPP
#define COMPUTELINEAR_HPP
//=============================
www.eeworm.com/read/388251/8623395
hpp computewindup.hpp
#pragma ident "$Id: $"
/**
* @file ComputeWindUp.hpp
* This class computes the wind-up effect on the phase observables, in radians.
*/
#ifndef COMPUTEWINDUP_HPP
#define COMPUTEWINDUP_HPP
//=====
www.eeworm.com/read/177674/9442606
m glmgrad.m
function [g, gdata, gprior] = glmgrad(net, x, t)
%GLMGRAD Evaluate gradient of error function for generalized linear model.
%
% Description
% G = GLMGRAD(NET, X, T) takes a generalized linear model da
www.eeworm.com/read/177674/9442678
m mlpgrad.m
function [g, gdata, gprior] = mlpgrad(net, x, t)
%MLPGRAD Evaluate gradient of error function for 2-layer network.
%
% Description
% G = MLPGRAD(NET, X, T) takes a network data structure NET together
www.eeworm.com/read/176823/9483293
m glmgrad.m
function [g, gdata, gprior] = glmgrad(net, x, t)
%GLMGRAD Evaluate gradient of error function for generalized linear model.
%
% Description
% G = GLMGRAD(NET, X, T) takes a generalized linear model da