Adaptive median thresholding for the generation of high-data-rate random-like unpredictable binary sequences with chaos

Sergio Callegari, Mirko Dondini, Gianluca Setti

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Chaos represents an effective method for the generation of random-like values, combining the benefits of relying on simple, causal models with good unpredictability. Since chaotic systems are always continuous-valued while applications are often digital, a quantization step is generally required for interfacing, We propose an adaptive binary quantization scheme which allows a relaxation of the system accuracy requirements, permitting improved performance in terms of throughput, die area, design simplicity. © 2001 IEEE.
Original languageEnglish (US)
Title of host publicationISCAS 2001 - 2001 IEEE International Symposium on Circuits and Systems, Conference Proceedings
Pages221-224
Number of pages4
DOIs
StatePublished - Dec 1 2001
Externally publishedYes

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