代码搜索：Additive
找到约 385 项符合「Additive」的源代码
代码结果 385
www.eeworm.com/read/220188/14847298
m bpsk_spread.m
%*********************BINARY PHASE SHIFT KEYING *******************
%
% Simulation of BPSK system in presence of Additive White Guassian Noise
% and Rayleigh fading and Dopper shift and using SPREA
www.eeworm.com/read/179372/5304992
cpp test_linear_analytic_measurement_model_gaussian_uncertainty.cpp
// Test Program
// Tests the Linear Measurement Model with Gaussian uncertainty (additive)
// Measuring the (vertical) distance to a wall
#include
www.eeworm.com/read/412811/11181796
m bpsk_spread.m
%*********************BINARY PHASE SHIFT KEYING *******************
%
% Simulation of BPSK system in presence of Additive White Guassian Noise
% and Rayleigh fading and Dopper shift and using SPREA
www.eeworm.com/read/204482/15337659
m bpsk_spread.m
%*********************BINARY PHASE SHIFT KEYING *******************
%
% Simulation of BPSK system in presence of Additive White Guassian Noise
% and Rayleigh fading and Dopper shift and using SPREA
www.eeworm.com/read/282846/9056150
m mpot.m
function pot = mpot(vectheta)
% log posterior probability (up to an additive constant)
%
% pot = mpot(vectheta)
%
% vectheta : vector of hyperparameters
% Matlab code for Gaussian Proces
www.eeworm.com/read/375622/9355549
m comb.m
% comb.m
%
% Generate additive white qaussian noise
function[iout,qout] = comb(idata,qdata,attn)
%********************* variables *********************
% idata : input Ich data
% qdata
www.eeworm.com/read/280531/10322504
m stronggentleclassifier.m
function [Cx, Fx] = strongGentleClassifier(x, classifier)
% [Cx, Fx] = strongLogitClassifier(x, classifier)
%
% Cx is the predicted class
% Fx is the output of the additive model
% Cx = sign(Fx)
www.eeworm.com/read/279339/10446058
m stronggentleclassifier.m
function [Cx, Fx] = strongGentleClassifier(x, classifier)
% [Cx, Fx] = strongLogitClassifier(x, classifier)
%
% Cx is the predicted class
% Fx is the output of the additive model
% Cx = sign(Fx)
www.eeworm.com/read/233611/6336697
m comb.m
% comb.m
%
% Generate additive white gausian noise
function [iout,qout] = comb (idata,qdata,attn)
%****************** variables *************************
% idata : input Ich data
% qdata : i
www.eeworm.com/read/154467/11956658
m comb.m
% comb.m
% Generate additive white gausian noise
function [iout,qout] = comb (idata,qdata,attn)
%****************** variables *************************
% idata : input Ich data
% qdata : i