Low-power CMOS VLSI circuits are crucial for energy-efficient digital
systems, particularly in time-domain mixed-signal (TD-MS)
applications. Despite advancements, traditional digital circuits often
fall short in energy and area efficiency. Conventional digital circuits
struggle with high energy consumption and area utilization, especially
in data acquisition, conversion, key generation, and protection tasks.
There is a need for more efficient alternatives. This study presents a
novel TD-MS circuit design incorporating artificial neural networks
(ANN) and reversible perturbation adiabatic switching. We compared
these TD-MS circuits against a baseline digital implementation in
65nm technology. Full-stack SPICE simulations were used for both
setups. The TD-MS circuits shown a 670× energy/frame savings
compared to the embedded digital system. Area efficiency improved by
3×, and energy savings were 3.2× compared to the digital baseline.
S. Jayashree1, K. Malarvizhi2, S. Karthik3
SNS College of Engineering, India1,3, Kumaraguru College of Technology, India2
Low-power CMOS, Time-Domain Mixed-Signal, Energy Efficiency, SPICE Simulations, Neural Networks
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| Published By :
ICTACT
Published In :
ICTACT Journal on Microelectronics
( Volume: 10 , Issue: 2 , Pages: 1822 - 1829 )
Date of Publication :
July 2024
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135
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