Anzeige
Erschienen in:
2005 | OriginalPaper | Buchkapitel
A Deterministic Approach to Balancedness and Run Quantification in Pseudorandom Pattern Generators
verfasst von : Amparo Fúster-Sabater, Pino Caballero-Gil
Erschienen in: Advances in Informatics
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
An easy method of computing the number of 1’s and 0’s (balancedness) as well as the number of runs (run quantification) in the sequence obtained from a LFSR-based pseudorandom patter generator has been developed. The procedure is a deterministic alternative to the traditional application of statistical tests. The computation method allows one to check deviation of balancedness and run distribution goodness from standard values. As a straight consequence of the above procedure, simple rules to design pattern generators with adequate pseudorandomness properties are also derived.