代码搜索：new_data
找到约 116 项符合「new_data」的源代码
代码结果 116
www.eeworm.com/read/147766/5723284
c head64.c
/*
* linux/arch/x86_64/kernel/head64.c -- prepare to run common code
*
* Copyright (C) 2000 Andrea Arcangeli SuSE
*
* $Id: head64.c,v 1.27 2003/03/31 15:12:07 ak Exp $
*/
#i
www.eeworm.com/read/128531/5985904
c head64.c
/*
* linux/arch/x86_64/kernel/head64.c -- prepare to run common code
*
* Copyright (C) 2000 Andrea Arcangeli SuSE
*
* $Id: head64.c,v 1.27 2003/03/31 15:12:07 ak Exp $
*/
#i
www.eeworm.com/read/127781/5997013
c head64.c
/*
* linux/arch/x86_64/kernel/head64.c -- prepare to run common code
*
* Copyright (C) 2000 Andrea Arcangeli SuSE
*
* $Id: head64.c,v 1.25 2002/07/01 08:01:19 ak Exp $
*/
#i
www.eeworm.com/read/152356/12120237
c 摩托罗拉8位单片机24c02读写程序.c
/*============================================================================*
函数： void Delayiic(void)
功能： ns延时。
参数： ns——延时时间设定。
返回值： 无。
最深嵌套： 0层
----------------------------------------
www.eeworm.com/read/337834/12338494
c dhblock_noauth_srv.c
#include
#include
#include
#include "dhblock_noauth.h"
#include "dhblock_noauth_srv.h"
#include "dhblock_noauth.h"
#include "locationtable.h"
#include "locatio
www.eeworm.com/read/161121/5557690
c head64.c
/*
* linux/arch/x86_64/kernel/head64.c -- prepare to run common code
*
* Copyright (C) 2000 Andrea Arcangeli SuSE
*
* $Id: head64.c,v 1.25 2002/07/01 08:01:19 ak Exp $
*/
#i
www.eeworm.com/read/152843/5660143
c head64.c
/*
* linux/arch/x86_64/kernel/head64.c -- prepare to run common code
*
* Copyright (C) 2000 Andrea Arcangeli SuSE
*
* $Id: head64.c,v 1.22 2001/07/06 14:28:20 ak Exp $
*/
#i
www.eeworm.com/read/183139/9177517
m pca.m
function [eigvector, eigvalue, meanData, new_data] = PCA(data, options)
%PCA Principal component analysis
% Usage:
% [EIGVECTOR, EIGVALUE, MEANDATA, NEW_DATA] = PCA(DATA, OPTIONS)
%
% DATA: Rows
www.eeworm.com/read/199981/7813812
m pca.m
function [eigvector, eigvalue, meanData, new_data] = PCA(data, options)
%PCA Principal component analysis
% Usage:
% [EIGVECTOR, EIGVALUE, MEANDATA, NEW_DATA] = PCA(DATA, OPTIONS)
%
% DATA: Rows
www.eeworm.com/read/239809/13256051
m pca.m
function [eigvector, eigvalue, meanData, new_data] = PCA(data, options)
%PCA Principal component analysis
% Usage:
% [EIGVECTOR, EIGVALUE, MEANDATA, NEW_DATA] = PCA(DATA, OPTIONS)
%
% DATA: Rows