Microcontrollers are widespread in embedded applications, where digital signal processing is taking on growing importance. Microcontrollers are an enabling technology because they are inexpensive, consume little power, and fit in tiny devices, although they are not so fast as digital signal processors (DSPs). Softcomputing (artificial neural networks and fuzzy logic) methodologies can help developers design digital signal-processing applications light enough for tiny microcontrollers. A speech-recognition application running on a tiny microcontroller will be illustrated.

Can a tiny embedded microcontroller run a digital signal-processing application? / M. Malcangi - In: Selected Papers from DSP Application Day 2009 / [a cura di] Mario Malcangi. - Milano : Libreria CLUP, 2010 Jun. - ISBN 9788863010343. - pp. 3-6

Can a tiny embedded microcontroller run a digital signal-processing application?

M. Malcangi
Primo
2010

Abstract

Microcontrollers are widespread in embedded applications, where digital signal processing is taking on growing importance. Microcontrollers are an enabling technology because they are inexpensive, consume little power, and fit in tiny devices, although they are not so fast as digital signal processors (DSPs). Softcomputing (artificial neural networks and fuzzy logic) methodologies can help developers design digital signal-processing applications light enough for tiny microcontrollers. A speech-recognition application running on a tiny microcontroller will be illustrated.
DSP ; microcontroller ; fuzzy logic ; neural networks ; speech recognition
Settore INF/01 - Informatica
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/143905
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