代码搜索:Generates

找到约 10,000 项符合「Generates」的源代码

代码结果 10,000
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m mc_sample.m

function S = mc_sample(prior, trans, len, numex) % SAMPLE_MC Generate random sequences from a Markov chain. % STATE = SAMPLE_MC(PRIOR, TRANS, LEN) generates a sequence of length LEN. % % STATE = SAMPL
www.eeworm.com/read/436266/7773597

s43 fet410_ta_25.s43

;****************************************************************************** ; MSP-FET430P410 Demo - Timer_A, Output DTMF, Cont. Mode, DCO SMCLK ; ; Description: This program outputs two ton
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m mc_sample.m

function S = mc_sample(prior, trans, len, numex) % SAMPLE_MC Generate random sequences from a Markov chain. % STATE = SAMPLE_MC(PRIOR, TRANS, LEN) generates a sequence of length LEN. % % STATE = SAMPL
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m# #mc_sample.m#

function S = sample_mc(prior, trans, len, numex) % SAMPLE_MC Generate random sequences from a Markov chain. % STATE = SAMPLE_MC(PRIOR, TRANS, LEN) generates a sequence of length LEN. % % STATE = SAMPL
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m mc_sample.m

function S = mc_sample(prior, trans, len, numex) % SAMPLE_MC Generate random sequences from a Markov chain. % STATE = SAMPLE_MC(PRIOR, TRANS, LEN) generates a sequence of length LEN. % % STATE = SAMPL
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m~ mc_sample.m~

function S = sample_mc(prior, trans, len, numex) % SAMPLE_MC Generate random sequences from a Markov chain. % STATE = SAMPLE_MC(PRIOR, TRANS, LEN) generates a sequence of length LEN. % % STATE = SAMPL
www.eeworm.com/read/144192/12810337

cpp random(mt19937).cpp

/* A C-program for MT19937, with initialization improved 2002/1/26. Coded by Takuji Nishimura and Makoto Matsumoto. Before using, initialize the state by using init_genrand(seed)
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c ramp.c

//Ramp.c Generates a ramp int output; interrupt void c_int11() //interrupt service routine { output_sample(output); //output for each sample period output
www.eeworm.com/read/142034/12968925

m fft_dirac.m

function u= fft_dirac(N) % function u= fft_dirac(N) % This file is part of the TFPM toolbox v0.5 (c) % michael.jachan@tuwien.ac.at and underlies the GPL. % % Generates the delta-Dirac function of
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m mc_sample.m

function S = mc_sample(prior, trans, len, numex) % SAMPLE_MC Generate random sequences from a Markov chain. % STATE = SAMPLE_MC(PRIOR, TRANS, LEN) generates a sequence of length LEN. % % STATE = SAMPL