A LOW COMPLEXITY METHOD FOR ANALYZING ACOUSTIC ECHO SIGNALS IN THE FRAMEWORK OF A CELLULAR AUTOMATA VIRTUAL ENVIRONMENT

This paper evaluates the accuracy of ultrasound-based object shape classification using a new low complexity method (Binary Transitions) in the context of our recent work on analyzing acoustic signals in virtual environments modeled with cellular automata, which is also reviewed in this paper. This...

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Veröffentlicht in:	Scientific Bulletin. Series C, Electrical Engineering and Computer Science Electrical Engineering and Computer Science, 2018-01 (2), p.121
Hauptverfasser:	Bucurica, Mihai, Dogaru, Ioana, Dogaru, Radu
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Automata theory Cellular automata Classifiers Complexity Context Feature extraction Sound propagation Speech recognition Virtual environments
Online-Zugang:	Volltext
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