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sortDescending {string}or {realScalar} sum {type} or [type] {string} or {realScalar} A.4 Functions for Evaluating Expressions Expressions Return the specified array, but sorted in descending order. realScalar is any scalar token except complex. type Sum the elements of the specified array or matrix. This throws an exception if the elements do not support addition or if the array is empty (an empty matrix will return zero). trace [type] type Return the trace of the specified matrix. transpose [type] [type] Return the transpose of the specified matrix. zeroMatrixComplex int, int [complex] Return a zero matrix with the specified number of rows and columns. zeroMatrixDouble int, int [double] Return a zero matrix with the specified number of rows and columns. zeroMatrixInt int, int [int] Return a zero matrix with the specified number of rows and columns. zeroMatrixLong int, int [long] Return a zero matrix with the specified number of rows and columns. TABLE 7: Utility functions for evaluating expressions function argument type(s) return type description eval string any type evaluate the specified expression (see page 112). parseInt string or string, int parseLong string or string, int TABLE 6: Functions that take or return matrices, arrays, or records. function argument type(s) return type description int return an int read from a string, using the given radix if a second argument is provided. int return a long read from a string, using the given radix if a second argument is provided. toBinaryString int or long string return a binary representation of the argument toOctalString int or long string return an octal representation of the argument toString double or string return a string representation of the argument, using the given int or int, int or long or long, int radix if a second argument is provided. traceEvaluation string string evaluate the specified expression and report details on how it was evaluated (see page 112). 122 Ptolemy <strong>II</strong>
Expressions A.5 Signal Processing Functions TABLE 8: Functions performing signal processing operations function argument type(s) return type description convolve {double}, {double} or {complex}, {complex} {double} or {complex} Convolve two arrays and return an array whose length is sum of the lengths of the two arguments minus one. Convolution of two arrays is the same as polynomial multiplication. DCT {double} or {double} Return the discrete cosine transform of the specified array, {double}, int or using the specified (optional) length and normalization strat- {double}, int, int egy (see page 113). downsample {double}, int or {double}, int, int {double} Return a new array with every n -th element of the argument array, where n is the second argument. If a third argument is given, then it must be between 0 and n – 1 , and it specifies an offset into the array (by giving the index of the first output). FFT {double} or {complex} Return the fast Fourier transform of the specified array. If the {complex} or {double}, int {complex}, int second argument is given with value n , then the length of the transform is 2 . Otherwise, the length is the next power of two greater than or equal to the length of the input array. If the input length does not match this length, then input is padded with zeros. generateBartlettWindow int {double} Return a Bartlett (rectangular) window with the specified length. The end points have value 0.0, and if the length is odd, the center point has value 1.0. For length M + 1, the formula n generateBlackmanWindow int {double} Return a Blackman window with the specified length. For length M + 1, the formula is: wn ( ) = 0.42 + 0.5 cos( 2πn/M ) + 0.08 cos( 4πn/M ) generateBlackmanHarrisWindow int {double} Return a Blackman-Harris window with the specified length. For length M + 1, the formula is: wn ( ) = 0.35875 + 0.48829 cos( 2πn/M ) + 0.14128cos( 4πn/M ) + 0.01168cos( 6πn/M ) generateGaussianCurve double, double, int {double} Return a Gaussian curve with the specified standard deviation, extent, and length. The extent is a multiple of the standard deviation. For instance, to get 100 samples of a Gaussian curve with standard deviation 1.0 out to four standard deviations, use generateGaussianCurve(1.0, 4.0, 100). generateHammingWindow int {double} Return a Hamming window with the specified length. For length M + 1, the formula is: wn ( ) = 0.54 – 0.46 cos( 2πn/M ) generateHanningWindow int {double} Return a Hanning window with the specified length. For length M + 1, the formula is: wn ( ) = 0.5 – 0.5 cos( 2πn/M ) Heterogeneous Concurrent Modeling and Design 123 is: w( n) = ⎧ ⎪ ⎪ ⎨ ⎪ ⎪ ⎩ 2 n ----; if 0 n M M ≤ ≤ ---- 2 2 2 n – ----; if M M ---- ≤n ≤M 2
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PTOLEMY II HETEROGENEOUS CONCURRENT
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VOLUME 1 INTRODUCTION TO PTOLEMY II
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Volume 1 Contents Introduction to P
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2.10.3. Constructing Modal Models 8
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7. MoML 191 7.1. Introduction 191 7
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1 Introduction Author: Edward A. Le
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Introduction heterochronous dataflo
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Introduction A major emphasis in Pt
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Introduction determine when actors
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Introduction provides levels of vis
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Introduction is a guard, and the se
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Introduction well. All of these are
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Introduction clients to update thei
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Introduction will be supplied with
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Introduction 1.3.12 Synchronous Dat
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Introduction FIGURE 1.10. Refinemen
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Introduction occlusions due to terr
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Introduction tion. The overall arch
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Introduction kernel.attributes This
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Introduction 1.5.2 Overview of Key
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Introduction Actor interfaces are k
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Heterogeneous Concurrent Modeling a
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Introduction actor actor.gui data.e
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Introduction cient, scalable, and u
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Introduction 1.5.8 Future Capabilit
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Introduction Appendix A: UML — Un
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Introduction grams, the only constr
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2 Using Vergil Authors: Edward A. L
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Using Vergil 2.2.2 Executing a Pre-
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Using Vergil The Lorenz attractor m
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Using Vergil The Continuous-Time (C
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Using Vergil box in figure 2.11. En
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Using Vergil Don’t panic! Excepti
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Using Vergil tions are a normal par
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Using Vergil 2.4 Hierarchy Ptolemy
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Using Vergil Then using these ports
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Using Vergil the default 0.1 to 0.0
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Using Vergil pan window, it is easy
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Using Vergil FIGURE 2.33. The pan w
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Using Vergil we have modified the c
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Page 83 and 84: Using Vergil A key issue is to deci
Page 85 and 86: Using Vergil instances. This proble
Page 87 and 88: Using Vergil quick tour for more de
Page 89 and 90: Using Vergil uses the index in the
Page 91 and 92: Using Vergil AddSubtract actor, and
Page 93 and 94: Using Vergil If you look inside the
Page 95 and 96: Using Vergil If you look inside the
Page 97 and 98: Using Vergil transition (or right c
Page 99 and 100: Using Vergil Once you have created
Page 101 and 102: Using Vergil The grid is turned off
Page 103 and 104: Authors: Edward A. Lee Xiaojun Liu
Page 105 and 106: Expressions classes to create a gen
Page 107 and 108: Expressions The % operation is a mo
Page 109 and 110: Expressions attribute, which includ
Page 111 and 112: Expressions 3.3.5 State Machines Ex
Page 113 and 114: Expressions whose value is an array
Page 115 and 116: Expressions from it. For instance,
Page 117 and 118: Expressions defined. For example, >
Page 119 and 120: Expressions length is given by the
Page 121 and 122: Expressions Thus, for example, you
Page 123 and 124: Expressions number. With one additi
Page 125 and 126: Expressions value. For example, fix
Page 127 and 128: Expressions In the example in figur
Page 129 and 130: Expressions A.2 Basic Mathematical
Page 131: Expressions A.3 Matrix, Array, and
Page 135 and 136: Expressions TABLE 8: Functions perf
Page 137 and 138: 4 Actor Libraries Authors: Elaine C
Page 139 and 140: Actor Libraries properly in the CT
Page 141 and 142: Actor Libraries ing that multiple c
Page 143 and 144: Actor Libraries TypedAtomicActor «
Page 145 and 146: Actor Libraries SequenceScope (exte
Page 147 and 148: Actor Libraries UnsignedByteArrayTo
Page 149 and 150: Actor Libraries MobileFunction (ext
Page 151 and 152: Actor Libraries LogicFunction (exte
Page 153 and 154: Actor Libraries Sleep (extends Tran
Page 155 and 156: Actor Libraries VariableFIR (extend
Page 157 and 158: Actor Libraries Integrator: Integra
Page 159 and 160: Actor Libraries Figure 4.4 shows th
Page 161 and 162: 5 Designing Actors Authors: Christo
Page 163 and 164: Designing Actors /** Javadoc commen
Page 165 and 166: Designing Actors although with most
Page 167 and 168: Designing Actors import ptolemy.act
Page 169 and 170: Designing Actors makes such actors
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Page 173 and 174: Designing Actors morphic actor comp
Page 175 and 176: Designing Actors To get data polymo
Page 177 and 178: Designing Actors public class Seque
Page 179 and 180: Designing Actors be used in domains
Page 181 and 182: Designing Actors alComm actor. Beca
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Designing Actors attribute has valu
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Designing Actors import ptolemy.act
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6 Coding Style Authors: Christopher
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Coding Style /* One line descriptio
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Coding Style Copyright (c) 2004 The
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Coding Style @version $Id: NamedObj
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Coding Style } We use instead the i
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Coding Style * @exception MyExcepti
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Coding Style + "it does not impleme
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Authors: Edward A. Lee Steve Neuend
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MoML cutes it forever, until you hi
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MoML A second difference between ou
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MoML
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MoML 7.3.3 Names and Classes Most M
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MoML Here, the element named
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MoML implement. 7.3.7 Doc Element S
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MoML It is also sometimes necess
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MoML then there will be a link t
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MoML found. For example, if the cla
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MoML it cannot collide with the nam
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MoML The rendering of the icon is d
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MoML 7.4.5 Deleting Entities, Relat
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MoML This unlinks a port from the s
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MoML model. The EntityLibrary class
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MoML Suppose that using incremental
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MoML Generate a sine wave.
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MoML
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MoML Number of iterations in
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MoML -P- The f
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MoML -P- The phase,
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8 Custom Applets Authors: Edward A.
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Custom Applets html code, see the J
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Custom Applets public class Tutoria
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Custom Applets then the result of
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Custom Applets 8.3.5 Using Model Pa
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Custom Applets ptolemy/domains/doma
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References [1] G. Agha, Actors: A M
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[33] S. A. Edwards, “The Specific
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[67] E. Kohler, The Click Modular R
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[95] J. Liu, X. Liu, T. J. Koo, B.
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[132]W. R. Sutherland, "The on-Line
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Glossary abstract syntax ..........
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Ptolemy II ........................
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Index Symbols - in UML 41 # in UML
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coin flips 142 Color class 173 colo
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entity in XML 198 EntityLibrary cla
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Director class 159 inverse FFT 124
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CompositeEntity class 206 nextPower
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safety 34 SampleDelay actor 78, 138
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type constraint 155 type constraint
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