代码搜索:Probability

找到约 4,670 项符合「Probability」的源代码

代码结果 4,670
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m ncchi2~1.m

% ncchi2_10.m % Scope: This MATLAB macro computes the probability density function of the % non-central chi-square distribution with ten degrees of freedom.
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m ncchi2_6.m

% ncchi2_6.m % Scope: This MATLAB macro computes the probability density function of the % non-central chi-square distribution with six degrees of freedom.
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m ncchi2_5.m

% ncchi2_5.m % Scope: This MATLAB macro computes the probability density function of the % non-central chi-square distribution with five degrees of freedom.
www.eeworm.com/read/476907/6754338

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 scriptbpsk_ber.m

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Creative Commons % Attribution-Noncommercial 2.5 India % You are free: % to Share — to copy, distribute and transmit the work % to Remix — to adapt the
www.eeworm.com/read/409296/11333622

m erlangc.m

% % p=erlangc(n,rho) % % This function computes the Erlang C probability that a system with n % servers, infinite waiting line, Poisson arrival rate lambda, service rate % (per server) mu, and intens
www.eeworm.com/read/263666/11348553

m hufflen.m

function HL = hufflen(S) % Based on probability (or number of occurences) of each symbol % the length for the Huffman codewords are calculated. % % HL = hufflen(S); % --------------------------
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c userint.c

/*************************************************************************/ /* */ /* User interface for consulting trees and rulesets */ /* -----------------------------------------------
www.eeworm.com/read/407047/11430874

m calccovpccpch.m

%CALCCOVPCCPCH CALCCOVPCCPCH calculates the coverage probability (Eb/Nt) for channels mapped on the % primary or secondary CCPCH % %Authors: Kari Sipil
www.eeworm.com/read/405084/11471973

m prob_snr1.m

% This program is used to produce Fig. 2.4 close all 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;