Search results for "Pseudorandom binary sequence"

showing 7 items of 7 documents

On the loopless generation of binary tree sequences

1998

Weight sequences were introduced by Pallo in 1986 for coding binary trees and he presented a constant amortized time algorithm for their generation in lexicographic order. A year later, Roelants van Baronaigien and Ruskey developed a recursive constant amortized time algorithm for generating Gray code for binary trees in Pallo's representation. It is common practice to find a loopless generating algorithm for a combinatorial object when enunciating a Gray code for this object. In this paper we regard weight sequences as variations and apply a Williamson algorithm in order to obtain a loopless generating algorithm for the Roelants van Baronaigien and Ruskey's Gray code for weight sequences.

Discrete mathematicsAmortized analysisBinary treeLexicographical orderPseudorandom binary sequenceComputer Science ApplicationsTheoretical Computer ScienceGray codeCombinatoricsSignal ProcessingBinary codeInformation SystemsCoding (social sciences)MathematicsInformation Processing Letters
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The sequence of open and closed prefixes of a Sturmian word

2017

A finite word is closed if it contains a factor that occurs both as a prefix and as a suffix but does not have internal occurrences, otherwise it is open. We are interested in the {\it oc-sequence} of a word, which is the binary sequence whose $n$-th element is $0$ if the prefix of length $n$ of the word is open, or $1$ if it is closed. We exhibit results showing that this sequence is deeply related to the combinatorial and periodic structure of a word. In the case of Sturmian words, we show that these are uniquely determined (up to renaming letters) by their oc-sequence. Moreover, we prove that the class of finite Sturmian words is a maximal element with this property in the class of binar…

FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)Sturmian word closed wordComputer Science - Formal Languages and Automata Theory0102 computer and information sciences68R1501 natural sciencesPseudorandom binary sequenceCombinatorics[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]FOS: MathematicsMathematics - Combinatorics0101 mathematicsMathematicsSequenceClosed wordSettore INF/01 - InformaticaApplied Mathematics010102 general mathematicsSturmian wordSturmian wordPrefix010201 computation theory & mathematicsCombinatorics (math.CO)SuffixElement (category theory)Word (computer architecture)Maximal elementComputer Science - Discrete Mathematics
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Identification and Robust Control of a Quadratic DC/DC Boost Converter by Hammerstein Model

2015

This paper deals with the theoretical framework definition and the experimental application of the Hammerstein (HM) identification and related robust control technique to a quadratic dc/dc single-switch boost (Q-boost) converter. A set of fourth-order transfer functions (TFs) has been identified with the Hammerstein approach, on the basis of a pseudorandom-binary-sequence (PRBS) excitation signal. The set of identified TFs has been then used to design a suitable robust control technique, able to properly deal with the converter parameter uncertainty and load variations. The proposed approach has been tested in numerical simulation and validated experimentally on a suitably developed test se…

Forward converterEngineeringsensitivity analysis.Flyback converterbusiness.industryHammerstein identificationĆuk converterHammerstein approachquadratic dc/dc boost (Q-boost) converterQuadratic DC/DC boost converter sensitivity analysis Hammerstein approach robust control uncertaintyPseudorandom binary sequenceTransfer functionIndustrial and Manufacturing EngineeringQuadratic equationSettore ING-INF/04 - Automaticasensitivity analysisControl and Systems EngineeringControl theoryBoost converterquadratic DC/DC boost converterSensitivity (control systems)Electrical and Electronic EngineeringRobust controlbusinessrobust control
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Identification of Nonlinear Systems Described by Hammerstein Models

2004

This paper deals with a method for identification of nonlinear systems suitable to be described by Hammerstein models consisting of a static nonlinearity followed by an ARX linear model. The estimation of the static nonlinearity is carried out supplying the system with a sequence of step signals of various amplitude and determining the corresponding steady-state responses. The estimation of the parameters of the ARX linear system is carried out by means of a least square estimator using data generated supplying the system with a Pseudorandom Binary Sequence (PRBS). The method in question is able to identify static nonlinearities of general type, also with hysteresis and/or discontinuities. …

Nonlinear systemSequenceAmplitudeSettore ING-INF/04 - AutomaticaControl theoryLinear systemLinear modelEstimatorClassification of discontinuitiesPseudorandom binary sequenceMathematicsHammerstein models identification nonlinear systems
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Nonlinear Modeling of DC/DC Converters Using the Hammerstein's Approach

2007

This paper deals with the modelling of highly nonlinear switching power-electronics converters using black-box identification methods. The duty cycle and the output voltage are chosen, respectively, as the input and the output of the model. A nonlinear Hammerstein-type mathematical model, consisting of a static nonlinearity and a linear time-invariant model, is considered in order to cope with the well-known limitations of the more common small-signal models, i.e. the entity of the variations of the variables around a well-defined steady-state operating point and the incorrect reproduction of the steady-state behavior corresponding to input step variations from the above steady-state operat…

Operating pointEngineeringbusiness.industrySystem identificationLinear modelDC/DC converters Hammerstein model identifi- cation.PID controllerConvertersPseudorandom binary sequenceNonlinear systemSettore ING-INF/04 - AutomaticaDuty cycleControl theoryElectrical and Electronic Engineeringbusiness
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All-optical measurements of background, amplitude, and timing jitters for high speed pulse trains or PRBS sequences using autocorrelation function

2008

International audience; We present a simple method for all-optical measurements of background, amplitude, and timing jitters of ultra high speed pulse trains or PRBS sequences using the jitter dependence of the intercorrelation-peak shape. This method is numerically and experimentally demonstrated on a 42.66 Gbit/s PRBS sequence and then applied to measure the jitter growths occurring during the propagation of a 160-GHz pulse train in a classical SMF/DCF dispersion map.

Optical fiberOptical fiberAutocorrelation function02 engineering and technologyTiming and amplitude jitters01 natural sciencesPseudorandom binary sequencelaw.invention010309 optics020210 optoelectronics & photonicsOpticslaw0103 physical sciencesDispersion (optics)0202 electrical engineering electronic engineering information engineeringPulse waveElectrical and Electronic EngineeringInstrumentation40 Gbit/sJitter160 Gbit/sPhysicsHigh bit rate[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics][ PHYS.PHYS.PHYS-OPTICS ] Physics [physics]/Physics [physics]/Optics [physics.optics]business.industryAutocorrelationAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsPulse (physics)AmplitudeControl and Systems EngineeringTelecommunication systembusiness
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All-Optical Measurement of Background, Amplitude and Timing Jitter for high speed pulse trains or prbs sequences using autocorrelation function

2006

We present a simple method for all-optical measurements of background, amplitude- and timing-jitter of ultra high speed pulse trains or prbs sequences using the jitter dependences of the intercorrelation-peak shape.

[PHYS.PHYS.PHYS-OPTICS] Physics [physics]/Physics [physics]/Optics [physics.optics]Optical fiber02 engineering and technology01 natural sciencesPseudorandom binary sequencelaw.invention010309 optics020210 optoelectronics & photonicsOpticsHardware_GENERALlawComputer Science::Multimedia0103 physical sciencesHardware_INTEGRATEDCIRCUITS0202 electrical engineering electronic engineering information engineeringComputingMilieux_MISCELLANEOUSJitterPhysics[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics][ PHYS.PHYS.PHYS-OPTICS ] Physics [physics]/Physics [physics]/Optics [physics.optics]Pulse (signal processing)business.industryAutocorrelationComputer Science::PerformanceAmplitudePhysics::Accelerator PhysicsTrainbusinessDegradation (telecommunications)
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