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www.eeworm.com/read/213425/15135076

m rsmp.m

function Inew=rsmp(pik,N) %picks N indeces from pik randomly. The probability of a certain element is proportional to the size of the corresponding element in pik. %Author PSL 200411 akkupik=cumsum
www.eeworm.com/read/212307/15160203

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
www.eeworm.com/read/212047/15166672

c cauchy.c

/* randist/cauchy.c * * Copyright (C) 1996, 1997, 1998, 1999, 2000 James Theiler, Brian Gough * * This program is free software; you can redistribute it and/or modify * it under the terms of th
www.eeworm.com/read/211695/15175486

m rsmp.m

function Inew=rsmp(pik,N) %picks N indeces from pik randomly. The probability of a certain element is proportional to the size of the corresponding element in pik. %Author PSL 200411 akkupik=cumsum
www.eeworm.com/read/210681/15193485

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/210156/15205834

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'
www.eeworm.com/read/167728/5452836

c cauchy.c

/* randist/cauchy.c * * Copyright (C) 1996, 1997, 1998, 1999, 2000 James Theiler, Brian Gough * * This program is free software; you can redistribute it and/or modify * it under the terms of th
www.eeworm.com/read/167185/5463361

3 relent.3

.\" Copyright (c) 1988 Entropic Speech, Inc. All rights reserved. .\"@(#)relent.3 1.1 31 Aug 1989 ESI .TH REL_ENT 3\-ESPSsp 31 Aug 1989 .ds ]W "\fI\s+4\ze\h'0.05'e\s-4\v'-0.4m'\fP\(*p\v'0.4m'\ Entropi
www.eeworm.com/read/163233/5511104

maple nap.maple

# Neuron activation probability # where T is the amount of thermal noise in # the system, and a is the energy level # of the neuron. p := proc (t,a) RETURN( 1/(1+(E^(-(a/t))))) end;
www.eeworm.com/read/155397/5622555

java empiricalmodel.java

// $Id: EmpiricalModel.java,v 1.6.4.3 2003/08/26 09:08:11 cssharp Exp $ /* tab:2 * * * "Copyright (c) 2000 and The Regents of the University * of California. All rights reserved. * *