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/323119/13354216
test ndb_dd_basic.test
#################################
# Author: JO
# Org Date: ?
# Purpose: To test basic Cluster Disk Data
#################################
# Change Author: JBM
# Change Date: 2006-01-11
# Change: Clea
www.eeworm.com/read/136908/13354545
lst main.lst
C51 COMPILER V7.50 MAIN 07/26/2005 04:04:12 PAGE 1
C51 COMPILER V7.50, COMPILATION OF MODULE MAIN
OBJECT MODULE PLACED IN ma
www.eeworm.com/read/319905/13439939
lnp gps.lnp
"main.obj",
"Port_Initial.obj",
"uart.obj",
"delay.obj",
"TS12864A.obj",
"show_window.obj",
"key.obj",
"Navigation.obj"
TO "GPS"
RAMSIZE(256)
www.eeworm.com/read/319902/13439974
lnp daohang.lnp
"main.obj",
"Navigation.obj",
"show_window.obj",
"delay.obj",
"Port_Initial.obj",
"key.obj",
"TS12864A.obj"
TO "daohang"
RAMSIZE(256)
www.eeworm.com/read/319900/13440021
lnp gps.lnp
"main.obj",
"Port_Initial.obj",
"uart.obj",
"delay.obj",
"TS12864A.obj",
"show_window.obj",
"key.obj"
TO "GPS"
RAMSIZE(256)
www.eeworm.com/read/317818/13496907
a51 inclr.a51
;说明使用到的外部函数和外部变量
EXTRN CODE(CWE1, DWE1, CWE2, DWE2)
EXTRN DATA(COM, DAT)
;定义全局函数INITIAL(), CLEAR()
PUBLIC INITIAL, CLEAR
INITP SEGMENT CODE
INIROM SEGMENT CODE
RSEG INIROM
;定义内部变量：初始化变量数组T
www.eeworm.com/read/317622/13500867
m hmm_forward.m
function [Pout, Alpha] = HMM_Forward(a, b, initial_state, V)
% Find the probability of a finite state in a Markov chain using the HMM forward algorithm
%
% Inputs:
% a - Transition probabili
www.eeworm.com/read/317622/13500881
m hmm_generate.m
function out = HMM_generate(a,b,initial,seq_len)
% Generate a Markov sequence
%
% Inputs:
% a - Transition probability matrix
% b - Output generator matrix
% initial - Initial state
%
www.eeworm.com/read/316604/13520443
m hmm_forward.m
function [Pout, Alpha] = HMM_Forward(a, b, initial_state, V)
% Find the probability of a finite state in a Markov chain using the HMM forward algorithm
%
% Inputs:
% a - Transition probabili
www.eeworm.com/read/316604/13520458
m hmm_generate.m
function out = HMM_generate(a,b,initial,seq_len)
% Generate a Markov sequence
%
% Inputs:
% a - Transition probability matrix
% b - Output generator matrix
% initial - Initial state
% seq