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Ayis Gallopoulos

dblp:47/4196 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1992
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 2 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
2 papers
Coding theory · 80% Information theory · 20%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Storage systems · 100%

Topics — the 4 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory › constrained coding
runlength-limited codes
0.021992
Maximum Entropy Charge-Constrained Run-Length Codes · IEEE J. Sel. Areas Commun. 1992
The power spectrum of run-length-limited codes · IEEE Trans. Commun. 1989
Coding theory › constrained coding › spectral-null codes
charge-constrained code
0.011992
Maximum Entropy Charge-Constrained Run-Length Codes · IEEE J. Sel. Areas Commun. 1992
Information theory › signal processing › spectral estimation
power spectral density
0.011992
Maximum Entropy Charge-Constrained Run-Length Codes · IEEE J. Sel. Areas Commun. 1992
Coding theory › constrained coding › spectral shaping
spectral null
0.011992
Maximum Entropy Charge-Constrained Run-Length Codes · IEEE J. Sel. Areas Commun. 1992

Methods — techniques the papers use, named apart from their topics

finite-state run-length process modeling · 0.0eigenvalue analysis · 0.0chebyshev polynomial recursion · 0.0
YearPublicationVenuePosition
1992 Maximum Entropy Charge-Constrained Run-Length Codes
abstract
The authors present a study of run-length-limiting codes that have a null at zero frequency or DC. The class of codes or sequences considered is specified by three parameters: (d, k, c). The first two constraints, d and k, put lower and upper bounds on the run-lengths, while the charge constraint, c, is responsible for the spectral null. A description of the combined (d, k, c) constraints, in terms of a variable length graph, and its adjacency matrix, A(D), are presented. The maximum entropy description of the constraint described by a run-length graph is presented as well as the power spectral density. The results are used to study several examples of (d, k, c) constraints. The eigenvalues and eigenvectors of the classes of (d, k=2c-1, c) and (d, k=d+1, c) constraints for (c=1,2,. . .), are shown to satisfy certain second-order recursive equations. These equations are solved using the theory of Chebyshev polynomials.>
Kenneth J. Kerpez, Ayis Gallopoulos, Chris Heegard
IEEE J. Sel. Areas Commun.2
1989 The power spectrum of run-length-limited codes
abstract
A novel method is developed for computing formulas for power spectra associated with run-length-limited (RLL) codes. Explicit use is made of a compact description of the run-length process associated with the RLL code. This association simplifies the general derivation of the power spectrum. The calculation of the spectra of several RLL codes popular in data storage applications is presented. Some of the closed-form expressions for the spectra of these widely used codes are new.>
Ayis Gallopoulos, Chris Heegard, Paul H. Siegel
IEEE Trans. Commun.1