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/460435/7251041
m klms.m
%KLMS Karhunen Loeve Mapping, followed by scaling
%
% [W,FRAC] = KLMS(A,N)
% [W,N] = KLMS(A,FRAC)
%
% INPUT
% A Dataset
% N or FRAC Number of dimensions (>= 1) or fraction o
www.eeworm.com/read/457902/7315760
c mall.c
/* mall.c -- use the Queue interface */
/* compile with queue.c */
#include
#include /* for rand() and srand() */
#include /* for time()
www.eeworm.com/read/451938/7453738
sta test1.sta
ROM used: 1568 (5%)
1568 (5%) including unused fragments
2 Average locations per line
8 Average locations per statement
RAM used: 82 (5%) at main() level
www.eeworm.com/read/451938/7453761
sta test2.sta
ROM used: 1590 (5%)
1590 (5%) including unused fragments
2 Average locations per line
8 Average locations per statement
RAM used: 83 (5%) at main() level
www.eeworm.com/read/450608/7480450
m klms.m
%KLMS Karhunen Loeve Mapping, followed by scaling
%
% [W,FRAC] = KLMS(A,N)
% [W,N] = KLMS(A,FRAC)
%
% INPUT
% A Dataset
% N or FRAC Number of dimensions (>= 1) or fraction o
www.eeworm.com/read/449679/7498231
nec logpertl.nec
CM 17-10m Log Per - ARRL Ant Book, converted with 4nec2 on 29-mrt-06 14:37
CM LogPerTL
CM This is the same antenna as LogPer but using transmission
CM line models for the interelement feed. It sho
www.eeworm.com/read/449530/7501291
c mall.c
/* mall.c -- use the Queue interface */
/* compile with queue.c */
#include
#include /* for rand() and srand() */
#include /* for time()
www.eeworm.com/read/443108/7637867
c averagevalue.c
// ****************************************************************
// Description: Library function to determine the
// average value of a integer array. Note this code stresses
// simplicity o
www.eeworm.com/read/443108/7638059
c averagevalue.c
// ****************************************************************
// Description: Library function to determine the
// average value of a integer array. Note this code stresses
// simplicity o
www.eeworm.com/read/441245/7673259
m klms.m
%KLMS Karhunen Loeve Mapping, followed by scaling
%
% [W,FRAC] = KLMS(A,N)
% [W,N] = KLMS(A,FRAC)
%
% INPUT
% A Dataset
% N or FRAC Number of dimensions (>= 1) or fraction o