代码搜索：Variance
找到约 2,271 项符合「Variance」的源代码
代码结果 2,271
www.eeworm.com/read/201006/15418404
m scalesources.m
function [newsources, newnet, newparams] = ...
scalesources(sources, net, params)
% SCALESOURCES Scale the sources so that variance of first layer
% weights is equal to unity as assumed by thei
www.eeworm.com/read/200886/15420746
m scorems.m
% function [SEScore dotScore totVarScore] =
% scoreMS(newMSTrain,numRemove,classes)
%
%% Score an MS alignment on the basis of variance (or MAD)
%%
%% Assumes that all spectra are the same length.
www.eeworm.com/read/237137/4631610
m new_turbo_icc.m
function [x_intf,x_sigma]=New_Turbo_ICC(x_rake,Former_Rou,Former_Mask,Latter_Rou,Latter_Mask,Noise_variance,x_mean0,x_variance0,SubslotData_length,Path_number)
% Gray coded 16-QAM mapping vector
www.eeworm.com/read/237137/4631644
m turbo_ic.m
function [x_intf,x_sigma,Add_x_mean, Add_x_var]=Turbo_IC(x_rake,Rou,Mask,Noise_variance,x_mean,x_variance,SubslotData_length,Path_number,Det_intl_table,nIter)
% Gray coded 16-QAM mapping vector
www.eeworm.com/read/291752/8397901
txt danpdgm_full.txt
040303_213214
Daniell Periodogram Testbed
===========================
Max_Pass_Number = 2000
ar_sig_source
Noise_Seed = 113559
Driving_Variance = 0.3
Ar_Order = 2
A_Coeffs[0]
www.eeworm.com/read/291752/8397910
txt danpdgm_short.txt
040303_213214
Daniell Periodogram Testbed
===========================
Max_Pass_Number = 2000
ar_sig_source
Noise_Seed = 113559
Driving_Variance = 0.3
Ar_Order = 2
A_Coeffs[0]
www.eeworm.com/read/291412/8421470
config plugins.config
# Name: Otsu Thresholding
# This algorithm is an implementation of Otsu thresholding technique
# based on the minimization of inter-class variance [otsu79].
# Author: Christopher Mei (christopher
www.eeworm.com/read/429478/8806452
txt channel 3.m.txt
% RANDGAUSS(a,d,n)
% This function creates a Gaussian random variable with mean 'a'
% and variance 'd'. If a second argument is used, a vector of
% 'n' Gaussian random variables is created.
www.eeworm.com/read/379728/9180244
m covdg.m
% COVDG - Extract posterior variance of principal components
%
% Sv = COVDG( Sv, Isv ) extracts the posterior variances of principal
% components (elements of matrix S) from the structures returned
www.eeworm.com/read/423100/10587523
m synchro.m
% synchronization
% estimation of the delay caused by the channel
% SNR should be estimated before using this function..
% training bits can maybe estimate this value (computations using variance