001/* An actor that outputs a random sequence with a Rician distribution. 002 003 Copyright (c) 1998-2014 The Regents of the University of California. 004 All rights reserved. 005 Permission is hereby granted, without written agreement and without 006 license or royalty fees, to use, copy, modify, and distribute this 007 software and its documentation for any purpose, provided that the above 008 copyright notice and the following two paragraphs appear in all copies 009 of this software. 010 011 IN NO EVENT SHALL THE UNIVERSITY OF CALIFORNIA BE LIABLE TO ANY PARTY 012 FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES 013 ARISING OUT OF THE USE OF THIS SOFTWARE AND ITS DOCUMENTATION, EVEN IF 014 THE UNIVERSITY OF CALIFORNIA HAS BEEN ADVISED OF THE POSSIBILITY OF 015 SUCH DAMAGE. 016 017 THE UNIVERSITY OF CALIFORNIA SPECIFICALLY DISCLAIMS ANY WARRANTIES, 018 INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF 019 MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE SOFTWARE 020 PROVIDED HEREUNDER IS ON AN "AS IS" BASIS, AND THE UNIVERSITY OF 021 CALIFORNIA HAS NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, 022 ENHANCEMENTS, OR MODIFICATIONS. 023 024 PT_COPYRIGHT_VERSION_2 025 COPYRIGHTENDKEY 026 027 */ 028package ptolemy.actor.lib; 029 030import ptolemy.data.DoubleToken; 031import ptolemy.data.expr.Parameter; 032import ptolemy.data.type.BaseType; 033import ptolemy.kernel.CompositeEntity; 034import ptolemy.kernel.util.IllegalActionException; 035import ptolemy.kernel.util.NameDuplicationException; 036 037/////////////////////////////////////////////////////////////////// 038//// Rician 039 040/** 041 <p>Produce a random sequence with a Rician distribution. 042 A Rician random variable is defined as follows: 043 Let Z = sqrt(X<sup>2</sup> + Y<sup>2</sup>), where X and Y are statistically 044 independent Gaussian random variables with means given by parameters 045 <i>xMean</i> and <i>yMean</i> respectively, and common variance given by 046 parameter <i>standardDeviation</i>. 047 </p><p> 048 The default values of <i>xMean</i> and <i>yMean</i> are both set to be zero, 049 in which the distribution is also called a Rayleigh distribution. Hence, 050 the actor is by default a Rayleigh random generator. 051 </p><p> 052 On each iteration, a new random number is produced. The output port 053 is of type DoubleToken. The values that are generated are independent 054 and identically distributed with the means and the standard deviation 055 given by parameters. In addition, the seed can be specified as a 056 parameter to control the sequence that is generated.</p> 057 058 @author Ye Zhou 059 @version $Id$ 060 @since Ptolemy II 3.0 061 @Pt.ProposedRating Green (eal) 062 @Pt.AcceptedRating Green (bilung) 063 @see ptolemy.actor.lib.Bernoulli 064 @see ptolemy.actor.lib.DiscreteRandomSource 065 @see ptolemy.actor.lib.Triangular 066 @see ptolemy.actor.lib.Uniform 067 */ 068public class Rician extends RandomSource { 069 /** Construct an actor with the given container and name. 070 * @param container The container. 071 * @param name The name of this actor. 072 * @exception IllegalActionException If the actor cannot be contained 073 * by the proposed container. 074 * @exception NameDuplicationException If the container already has an 075 * actor with this name. 076 */ 077 public Rician(CompositeEntity container, String name) 078 throws NameDuplicationException, IllegalActionException { 079 super(container, name); 080 081 output.setTypeEquals(BaseType.DOUBLE); 082 083 xMean = new Parameter(this, "xMean", new DoubleToken(0.0)); 084 xMean.setTypeEquals(BaseType.DOUBLE); 085 086 yMean = new Parameter(this, "yMean", new DoubleToken(0.0)); 087 yMean.setTypeEquals(BaseType.DOUBLE); 088 089 standardDeviation = new Parameter(this, "standardDeviation", 090 new DoubleToken(1.0)); 091 standardDeviation.setTypeEquals(BaseType.DOUBLE); 092 } 093 094 /////////////////////////////////////////////////////////////////// 095 //// ports and parameters //// 096 097 /** The mean of the random number along the X-axis. 098 * This parameter contains a DoubleToken, initially with value 0.0. 099 */ 100 public Parameter xMean; 101 102 /** The mean of the random number along the Y-axis. 103 * This parameter contains a DoubleToken, initially with value 0.0. 104 */ 105 public Parameter yMean; 106 107 /** The standard deviation of the random number. 108 * This parameter contains a DoubleToken, initially with value 1.0. 109 */ 110 public Parameter standardDeviation; 111 112 /////////////////////////////////////////////////////////////////// 113 //// public methods //// 114 115 /** Send a random number with a Rician distribution to the output. 116 * This number is only changed in the prefire() method, so it will 117 * remain constant throughout an iteration. 118 * @exception IllegalActionException If there is no director. 119 */ 120 @Override 121 public void fire() throws IllegalActionException { 122 super.fire(); 123 output.send(0, new DoubleToken(_current)); 124 } 125 126 /////////////////////////////////////////////////////////////////// 127 //// protected methods //// 128 129 /** Generate a new random number. 130 * @exception IllegalActionException If parameter values are incorrect. 131 */ 132 @Override 133 protected void _generateRandomNumber() throws IllegalActionException { 134 double xMeanValue = ((DoubleToken) xMean.getToken()).doubleValue(); 135 double yMeanValue = ((DoubleToken) yMean.getToken()).doubleValue(); 136 double standardDeviationValue = ((DoubleToken) standardDeviation 137 .getToken()).doubleValue(); 138 double xRawNum = _random.nextGaussian(); 139 double yRawNum = _random.nextGaussian(); 140 _current = java.lang.Math.sqrt(java.lang.Math 141 .pow(xRawNum * standardDeviationValue + xMeanValue, 2) 142 + java.lang.Math 143 .pow(yRawNum * standardDeviationValue + yMeanValue, 2)); 144 } 145 146 /////////////////////////////////////////////////////////////////// 147 //// private variables //// 148 // The random number for the current iteration. 149 private double _current; 150}