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/371761/6350352
m ipcavarexp.m
function ipcavarexp(Model,No_of_PCs,labeltype)
% ipcavarexp makes a plot describing explained calibration variance for all intervals
%
% Input:
% Model (the output from iPCA.m)
% No_of_PCs:
www.eeworm.com/read/371761/6350359
m ipcavarexp.m
function ipcavarexp(Model,No_of_PCs,labeltype)
% ipcavarexp makes a plot describing explained calibration variance for all intervals
%
% Input:
% Model (the output from iPCA.m)
% No_of_PCs:
www.eeworm.com/read/123749/14614370
m validation_proc.m
function validation_proc(opt)
%% function validation_proc(opt) performs validation computation
%% opt = 1 Kriging map
%% 2 Kriging variance map
%% 3 Cross validat
www.eeworm.com/read/334933/3360504
m noisepwr1.m
function nvar = noisepwr1(num,den)
% Computes the output noise variance due
% to input quantization of a digital filter
% based on a partial-fraction approach
%
% num and den are the numerator an
www.eeworm.com/read/301474/3839604
m noisepwr1.m
function nvar = noisepwr1(num,den)
% Computes the output noise variance due
% to input quantization of a digital filter
% based on a partial-fraction approach
%
% num and den are the numerator an
www.eeworm.com/read/448886/1683512
m noisepwr1.m
function nvar = noisepwr1(num,den)
% Computes the output noise variance due
% to input quantization of a digital filter
% based on a partial-fraction approach
%
% num and den are the numerator an
www.eeworm.com/read/421664/2049863
java~5~ variancecreatedemo.java~5~
package variance;
public class VarianceCreateDemo {
public static void main(String[] args) {
//创建变量i1，类型是int
int i1 = 20;
}
}
www.eeworm.com/read/386597/2570145
m mean_jackknife.m
function [mu, bias, varjack] = mean_jackknife(data)
%Find the estimate of the mean, it's bias and variance using the jackknife estimator method
%Inputs:
% data - The data from which to estimate
www.eeworm.com/read/378914/2679334
m noisepwr1.m
function nvar = noisepwr1(num,den)
% Computes the output noise variance due
% to input quantization of a digital filter
% based on a partial-fraction approach
%
% num and den are the numerator an
www.eeworm.com/read/291752/8397954
txt sampspect_short.txt
040303_215109
Sample Spectrum Testbed
=======================
Max_Pass_Number = 2000
ar_sig_source
Noise_Seed = 113559
Driving_Variance = 0.3
Ar_Order = 2
A_Coeffs[0] = 0