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/130592/14182133
m make_rp.m
rp.TNRdB = 10; % TNR in dB
rp.INRdB = 20; % INR in dB
rp.Nsnaps = 20;
rp.mu = 1e-8;
rp.p = 5;
rp.decay = 0;
rp.verbose = 0;
rp.mean_v = 0; % mean of complex-valued AWGN
r
www.eeworm.com/read/130592/14182213
m make_rp.m
rp.TNRdB = 10; % TNR in dB
rp.INRdB = 20; % INR in dB
rp.Nsnaps = 200;
rp.mu = 1e-8;
rp.p = 5;
rp.decay = 0;
rp.verbose = 0;
rp.mean_v = 0; % mean of complex-valued AWGN
www.eeworm.com/read/226661/14455866
m make_rp.m
rp.TNRdB = 10; % TNR in dB
rp.INRdB = 20; % INR in dB
rp.Nsnaps = 20;
rp.mu = 1e-8;
rp.p = 5;
rp.decay = 0;
rp.verbose = 0;
rp.mean_v = 0; % mean of complex-valued AWGN
r
www.eeworm.com/read/226661/14455977
m make_rp.m
rp.TNRdB = 10; % TNR in dB
rp.INRdB = 20; % INR in dB
rp.Nsnaps = 200;
rp.mu = 1e-8;
rp.p = 5;
rp.decay = 0;
rp.verbose = 0;
rp.mean_v = 0; % mean of complex-valued AWGN
www.eeworm.com/read/222974/14666579
h gaussianprior.h
#ifndef Amis_GaussianPrior_h_
#define Amis_GaussianPrior_h_
#include
#include
#include
#include
AMIS_NAMESPACE_BEGIN
class GaussianPrior : public
www.eeworm.com/read/209549/15217544
m pam.m
function s = PAM (M,N_s,sigma,sd)
% ==================================================================
% function s = PAM (M,N_s,sigma,sd)
%
% creates a sequence of N_s samples of M-PAM with variance
www.eeworm.com/read/167185/5465101
c statdist.c
/****************************************************************/
/* */
/* FILE: stat_dist.c */
www.eeworm.com/read/202091/15390586
m pam.m
function s = PAM (M,N_s,sigma,sd)
% ==================================================================
% function s = PAM (M,N_s,sigma,sd)
%
% creates a sequence of N_s samples of M-PAM with variance
www.eeworm.com/read/106690/15626804
m loadeep_avg.m
% loadeep_avg() - Load an averaged ANT EEP file (*.avr).
%
% Usage:
% >> [eep] = loadeep_avg(file);
%
% Inputs:
% filename - name of averaged ANT EEP file, including extension (*.avr)
www.eeworm.com/read/362501/9995731
m nom_vario.m
function C=nom_vario(distance)
global KRIG_NUGGET_EFFECT;
global KRIG_DIST2DOUBLE;
global KRIG_VARIANCE;
%NOM_VARIO computes the value of the nominal covariance
%for a given distance.
nugget=KRIG_