代码搜索：average
找到约 5,196 项符合「average」的源代码
代码结果 5,196
www.eeworm.com/read/428177/8885258
m stdmean.m
function Y=stdmean(X,A)
%STDMEAN Weighted average based on error from the mean
% stdmean(X,A)
% This calculates a weighted mean based on how clusted the
% data is. Each value is weighted inversely
www.eeworm.com/read/428131/8893470
h visualkb.h
#define MAX_STRINGS 12
class CMyApp : public CWinApp
{
public:
virtual BOOL InitInstance ();
};
class CMainWindow : public CWnd
{
protected:
int m_cxChar; // Average character w
www.eeworm.com/read/181309/9260015
m stdmean.m
function Y=stdmean(X,A)
%STDMEAN Weighted average based on error from the mean
% stdmean(X,A)
% This calculates a weighted mean based on how clusted the
% data is. Each value is weighted inversely
www.eeworm.com/read/374729/9387556
m stdmean.m
function Y=stdmean(X,A)
%STDMEAN Weighted average based on error from the mean
% stdmean(X,A)
% This calculates a weighted mean based on how clusted the
% data is. Each value is weighted inversely
www.eeworm.com/read/371259/9558869
m clipping and filtering-papr.m
% > Repeated Clipping and Filtering--PAPR Simulation
% >
% > Reference: J. Armstrong, New OFDM peak-to-average power reduction scheme.
% >
% > Author: Bin Jiang
% > National Mobile Communica
www.eeworm.com/read/168118/9938373
m filtboxnan.m
function y = filtboxnan(x,n)
% y = filtboxnan(x,n)
%
% THIS IS BASICALLY A MOVING AVERAGE OPERATOR
% x is the input vector; the no.of pts. of the vector
% need not be specified
% n is the number o
www.eeworm.com/read/168118/9938378
m filtbox.m
function y = filtbox(x,n)
% y = filtbox(x,n)
%
% THIS IS BASICALLY A MOVING AVERAGE OPERATOR
% x is the input vector; the no.of pts. of the vector
% need not be specified
% n is the number of poin
www.eeworm.com/read/168118/9938384
m filttri.m
function y = filttri(x,n)
% y = filttri(x,n)
%
% THIS IS BASICALLY A WEIGHTED MOVING AVERAGE OPERATOR
% x is the input vector; the no.of pts. of the vector
% need not be specified
% n is the numbe
www.eeworm.com/read/163176/10172325
m stdmean.m
function Y=stdmean(X,A)
%STDMEAN Weighted average based on error from the mean
% stdmean(X,A)
% This calculates a weighted mean based on how clusted the
% data is. Each value is weighted inversely