PTOLEMY II - CiteSeerX

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Actor Libraries LineCoder (extends SDFTransformer): Read a sequence of booleans (of length wordLength) and interpret them as a binary index into the table, from which a token is extracted and sent to the output. LMSAdaptive (extends FIR): Filter the input with an adaptive filter, and update the coefficients of the filter using the input error signal according to the LMS (least mean-square) algorithm. RaisedCosine (extends FIR): An FIR filter with a raised cosine frequency response. This is typically used in a communication systems as a pulse shaper or a matched filter. Scrambler (extends Transformer): Scramble the input bit sequence using a feedback shift register. Slicer (extends Transformer): A decoder of the LineCoder. TrellisDecoder (extends ViterbiDecoder): Decode convolutional code with non-antipodal constellation. ViterbiDecoder (extends Transformer): Decode inputs using (hard or soft) Viterbi decoding. Filtering DelayLine (extends SDFTransformer): In each firing, output the n most recent input tokens collected into an array, where n is the length of initialValues. In the beginning, before there are n most recent tokens, use the tokens from initialValues. DownSample (extends SDFTransformer): Read factor inputs and produce only one of them on the output. FIR (extends SDFTransformer): Produce an output token with a value that is the input filtered by an FIR filter with coefficients given by taps. GradientAdaptiveLattice (extends Lattice): A lattice filter that adapts the reflection coefficients to minimize the power of the output sequence. IIR (extends Transformer): Produce an output token with a value that is the input filtered by an IIR filter using a direct form II implementation. Lattice (extends Transformer): Produce an output token with a value that is the input filtered by an FIR lattice filter with coefficients given by reflectionCoefficients. LinearDifferenceEquationSystem (extends Transformer): Linear system given by an [A, b, c, d] statespace model. LMSAdaptive (extends FIR): Filter the input with an adaptive filter, and update the coefficients of the filter using the input error signal according to the LMS (least mean-square) algorithm. RecursiveLattice (extends Transformer): Produce an output token with a value that is the input filtered by a recursive lattice filter with coefficients given by reflectionCoefficients. UpSample (extends SDFTransformer): Read one input token and produce factor outputs, with all but one of the outputs being a zero of the same type as the input. 144 Ptolemy II
Actor Libraries VariableFIR (extends FIR): Filter the input sequence with an FIR filter with coefficients given on the newTaps input port. The blockSize parameter specifies the number of successive inputs that are processed for each set of taps provided on newTaps. VariableLattice (extends Lattice): Filter the input sequence with an FIR lattice filter with coefficients given on the newCoefficients input port. The blockSize parameter specifies the number of successive inputs that are processed for each set of taps provided on newCoefficients. VariableRecursiveLattice (extends Lattice): Filter the input sequence with a recursive lattice filter with coefficients given on the newCoefficients input port. The blockSize parameter specifies the number of successive inputs that are processed for each set of taps provided on newCoefficients. Spectrum DB (extends Transformer): Produce a token that is the value in decibels (k*log 10 (z)) of the token received, where k is 10 if inputIsPower is true, and 20 otherwise. The output is never less than min (it is clipped if necessary). FFT (extends SDFTransformer): A fast Fourier transform of size 2 order . IFFT (extends SDFTransformer): An inverse fast Fourier transform of size 2 order . LevinsonDurbin (extends SDFTransformer): Calculate the linear predictor coefficients (for both an FIR and Lattice filter) for the specified autocorrelation input. MaximumEntropySpectrum (composite actor): A fancy spectrum estimator that uses the Levinson- Durbin algorithm to calculate linear predictor coefficients, and then uses those as a parametric model for the random process. Periodogram (composite actor): A spectrum estimator calculates a periodogram. PhaseUnwrap (extends Transformer): A simple phase unwrapper. SmoothedSpectrum (composite actor): A spectrum estimator called the Blackman-Tukey algorithm, which estimates an autocorrelation function by averaging products of the input samples, and then calculates the FFT of that estimate. Spectrum (composite actor): A simple spectrum estimator that calculates the FFT of the input. For a random process, this is called the periodogram spectral estimate. Statistical A small number of statistical analysis actors are provided. Autocorrelation (extends SDFTransformer): Estimate the autocorrelation by averaging products of the input samples. ComputeHistogram (extends TypedAtomicActor): Compute a histogram of input data. PowerEstimate (extends Transformer): Estimate the power of the input signal. Heterogeneous Concurrent Modeling and Design 145
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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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Using Vergil model, simply copy (or
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Using Vergil A key issue is to deci
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Using Vergil instances. This proble
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Using Vergil quick tour for more de
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Using Vergil uses the index in the
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Using Vergil AddSubtract actor, and
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Using Vergil If you look inside the
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Using Vergil If you look inside the
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Using Vergil transition (or right c
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Using Vergil Once you have created
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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
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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
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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 and 132: Expressions A.3 Matrix, Array, and
Page 133 and 134: Expressions A.5 Signal Processing F
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
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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
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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
Page 183 and 184: Designing Actors attribute has valu
Page 185 and 186: Designing Actors import ptolemy.act
Page 187 and 188: 6 Coding Style Authors: Christopher
Page 189 and 190: Coding Style /* One line descriptio
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Page 201 and 202: Authors: Edward A. Lee Steve Neuend
Page 203 and 204: 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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