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/415311/11077106

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
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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
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c main.c

#include "inc.h" void Initial(); void main (void ) { char str1[]={0x48,0x56,0x12,0x97,0x00,0x00,0x00,0x00}; char tmp; Initial(); PORTA=0; PORTB=0; LockDS1302;
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v handshake_gate_t.v

module handshake_t(); reg clk,r,a,reset; wire ef; handshake_gate C (a,clk,r,reset,ef); initial begin clk=0;r=0;a=0;reset=0; #30 r=1; #20 a=1; #60 r=0; #20 a=0; #50 a=1; #10
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cpp executable.cpp

/*========================================================================== Copyright (c) 2006, Bill Rubin All rights reserved. Redistribution and use in source and binary
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v ram_top.v

`timescale 1ns/1ps module ram_top; reg clk,rst; wire [3:0] q; always #10 clk=~clk; initial begin clk=0;rst=1; #50 rst
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c menu4.c

#include #include #include char *menu[] = { "a - add new record", "d - delete record", "q - quit", NULL, }; int getchoice(char *greet, char *choices[
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m sample_pomdp.m

function [obs, hidden] = sample_pomdp(initial_prob, transmat, obsmat, act) % SAMPLE_POMDP Generate a random sequence from a Partially Observed Markov Decision Process. % [obs, hidden] = sample_pomdp(p
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m lqgoptm.m

% %LQGOPT1 Function to optimize LQG example using least squares % % See the file LQGCOST to see how the cost function is derived. % Copyright (c) 1990-94 by The MathWorks, Inc. % Load data fo
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c retarget.c

//*---------------------------------------------------------------------------- //* ATMEL Microcontroller Software Support - ROUSSET - //*-------------------------------------------------