代码搜索：initial
找到约 10,000 项符合「initial」的源代码
代码结果 10,000
www.eeworm.com/read/195165/8170986
bak mp3_uv2.bak
### uVision2 Project, (C) Keil Software
### Do not modify !
Target (Target 1), 0x0000 // Tools: 'MCS-51'
Group (Source Group 1)
File 1,1, 0x0
File 1,1, 0x
www.eeworm.com/read/195048/8175771
m kalman_filter.m
function [x, V, VV, loglik] = kalman_filter(y, A, C, Q, R, init_x, init_V, varargin)
% Kalman filter.
% [x, V, VV, loglik] = kalman_filter(y, A, C, Q, R, init_x, init_V, ...)
%
% INPUTS:
% y(:,t) -
www.eeworm.com/read/294780/8206201
c ds1302.c
#include
#include "LCD1602.h"
#include "DS1302.h"
void Delay1ms(unsigned int count)
{
unsigned int i,j;
for(i=0;i
www.eeworm.com/read/294249/8244949
m kalman_filter.m
function [x, V, VV, loglik] = kalman_filter(y, A, C, Q, R, init_x, init_V, varargin)
% Kalman filter.
% [x, V, VV, loglik] = kalman_filter(y, A, C, Q, R, init_x, init_V, ...)
%
% INPUTS:
% y(:,t) -
www.eeworm.com/read/393774/8263947
c ds1302.c
#include
#include "LCD1602.h"
#include "DS1302.h"
void Delay1ms(unsigned int count)
{
unsigned int i,j;
for(i=0;i
www.eeworm.com/read/393650/8272195
c i2c.c
//*******************************************
// * WISE SUCCESS TECHNOLOGY Copyright (c) 2008，开发部
// * 项目名称：车载多媒体
// * 函数名称：i2c.c
// * 内容简介：I2C总线1底层函数
// * 当前版本：1.0
// * 取代版本：无
// * 作 者： 易小
www.eeworm.com/read/293780/8273470
uv2 mp3.uv2
### uVision2 Project, (C) Keil Software
### Do not modify !
Target (Target 1), 0x0000 // Tools: 'MCS-51'
Group (Source Group 1)
File 1,1, 0x0
File 1,1, 0x
www.eeworm.com/read/392953/8317936
h lcd_tx06d18.h
/**************************************************************
The initial and control for 320×240 16Bpp TFT LCD----TX06D18
**************************************************************/
void T
www.eeworm.com/read/292938/8321936
h,v defset.h,v
head 1.1;
access;
symbols;
locks
zaki:1.1; strict;
comment @ * @;
1.1
date 2001.06.12.16.41.58; author zaki; state Exp;
branches;
next ;
desc
@Charm with Hashing.
@
1.1
log
@Initial revision
@
www.eeworm.com/read/370521/9597801
m kalman_filter.m
function [x, V, VV, loglik] = kalman_filter(y, A, C, Q, R, init_x, init_V, varargin)
% Kalman filter.
% [x, V, VV, loglik] = kalman_filter(y, A, C, Q, R, init_x, init_V, ...)
%
% INPUTS:
% y(:,t) -