代码搜索:Variance

找到约 2,271 项符合「Variance」的源代码

代码结果 2,271
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asv synchro.asv

% 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
www.eeworm.com/read/367152/9780095

m lans_stand.m

% lans_stand - Standardize data to zero mean and unit variance % % [sdata,m,s] = lans_stand(data) % % _____OUTPUTS____________________________________________________________ % sdata standardized da
www.eeworm.com/read/236929/13991273

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
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m parameter_classical.m

function[f_i,c_i,theta_i]=Parameter_Classical(Method_type,N_i,Variance,fmax,phase) sigma=sqrt(Variance); if strcmp(Method_type,'MED')==1 n=(1:N_i)'; f_i=fmax/(2*N_i)*(2*n-1); c_i=2*si
www.eeworm.com/read/379733/9179983

m updatevar.m

function a = updatevar(a, dim) % UPDATEVAR Calculate the total variance of acprobdist_alpha matrix % % Syntax % updatevar(a, dim) or updatevar(a) % where a is a acprobdist_alpha object and dim give
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c gasdev.c

/* double gasdev (idum) int *idum returns a normally distributed deviate with zero mean and unit variance. A + B * gasdev (idum) is a normally distributed deviate with mean A and stan
www.eeworm.com/read/162188/10327798

src cmlexpgm.src

/* ** cmlexpgm.src CMLExpgam - Constrained Exponential Gamma Regression Model ** (Censoring and Variance Function Optional) ** ** (C) Copyright 1994-1995 Aptech Systems, Inc. **
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src cmlnegbn.src

/* ** cmlnegbn.src CMLNegbin - Constrained Negative Binomial Regression Model ** (Truncation-at-zero and Variance Functions Optional) ** ** (C) Copyright 1994-1995 Aptech Syste
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m example2.m

% % This Matlab script provides an interactive way to reproduce % Example 2: Variance estimation reported in: % Zoubir, A.M. and Boashash, B. The Bootstrap and Its Application in % Signal Proce
www.eeworm.com/read/461062/7235109

asv constrained_weighted_nlos.asv

clc; clear; n=4; % the number of base stations m=1; % the number of measurements delta=60; % variance of measurement noise % bx(1:n)=0; by(1:5