LHTAM: Low-power and high-speed approximate multiplier for tiny inexact computing systems

The numerical computations related to certain applications can usually withstand a small amount of error. So in these types of applications, such as data mining, encoding algorithms, image processing, machine learning, signal processing, and other error-resilient applications, accurate computing can...

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Veröffentlicht in:	Computers & electrical engineering Jg. 123; S. 110215
Hauptverfasser:	Izadi, Azin, Jamshidi, Vahid
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.04.2025
Schlagworte:	Approximate computing Approximate multiplier Area Delay Energy-consumption Mitchell’s multiplication algorithm Energy-consumption Area Mitchell’s multiplication algorithm Approximate computing Delay Approximate multiplier
ISSN:	0045-7906
Online-Zugang:	Volltext
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