代码搜索:Probability

找到约 4,670 项符合「Probability」的源代码

代码结果 4,670
www.eeworm.com/read/196569/8074589

m betapdf.m

function y = betapdf(x,a,b) %BETAPDF Beta probability density function. % Y = BETAPDF(X,A,B) returns the beta probability density % function with parameters A and B at the values in X. % % The s
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php bayes.php

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c prob_dec_error_rs.c

// ------------------------------------------------------------------------ // File: prob_dec_error_rs.c // // Compute various probabilities of decoding errors for an RS code // ------------------
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m train.m

function [hmm, pout] = train(samples, M) % training of hmm % % inputs: % samples -- speech sample structure % M -- number of pdfs for each state, eg., [3 3 3 3] % % output: % hmm
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m prob_snr1.m

% This program is used to produce Fig. 4.3 clear all for nfa = 2:2:12 b = sqrt(-2.0 * log(10^(-nfa))); index = 0; hold on for snr = 0:.1:18 index = index +1; a = sqrt(2
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m ssbm.m

function ssbm(str) if ~exist('str','var') str='aedbaccde'; % the string to be coded end p=[0.2 0.3 0.1 0.15 0.25] %predetermined probability l=0;d=1;%d is the range of probability n=length(s
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m huff.m

function huff(str) if ~exist('str','var') %var is a keyword defined by exist function %str=['aaaaaaaaaaaaaaaaaaaabbbbbbbbbbbbbbbbbbbccccccccccccccccccdddddddddddddddddeeeeeeeeeeeeeeeffffffffff
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m expected.m

function e=expected(funfcn,a,b,tol,p1,p2,p3) % EXPECTED Finds the expected value of a random variable % with probability density function 'funfcn' and % support [a,b]. % Y=EXPECTED('F'
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m mdnpost.m

function [post, a] = mdnpost(mixparams, t) %MDNPOST Computes the posterior probability for each MDN mixture component. % % Description % POST = MDNPOST(MIXPARAMS, T) computes the posterior probability
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h arrivalgen.h

#ifndef ARRIVALGEN_H #define ARRIVALGEN_H #include #include //class invariant for the arrivalGenerator class: //An arrivalGenerator object generates the number of th