Optimized Design of a 4-Bit Absolute-Value Detector

This paper demonstrates the optimized design of a 4-bit absolute value detector, crucial for neural signal processing applications. The design enhances performance through linear programming and simple gate circuits, focusing on minimizing latency and energy consumption. The circuit employs De Morgan's theorem for simplification and MATLAB for parameter tuning. Key components include a magnitude calculator, optimized using Karnaugh mapping, and a 3-bit comparator. The critical path analysis identifies efficiency bottlenecks, aiming to reduce propagation delay. Optimization efforts include gate sizing and supply voltage adjustments, achieving a 39.8% reduction in energy consumption while allowing a 50% increase in delay. This balance between speed and power efficiency is essential for practical neural acquisition systems. However, real-world applicability necessitates further testing under varied environmental conditions and component variability to ensure robustness and reliability. Addressing these challenges will enhance the practical viability of the circuit in precise, energy-efficient electronic applications.

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Publication Details

Published
2024-08-29
DOI
https://doi.org/10.1109/icsece61636.2024.10729547
Citations
1
Primary Topic
Analog and Mixed-Signal Circuit Design
Type
article
Field-Weighted Citation Impact
0.18
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article

Optimized Design of a 4-Bit Absolute-Value Detector

Zhengyi Liu
1 citations
Analog and Mixed-Signal Circuit Design
0.18
article

Optimized Design of a 4-Bit Absolute-Value Detector

Zhengyi Liu
article en
1 citations

Abstract

This paper demonstrates the optimized design of a 4-bit absolute value detector, crucial for neural signal processing applications. The design enhances performance through linear programming and simple gate circuits, focusing on minimizing latency and energy consumption. The circuit employs De Morgan's theorem for simplification and MATLAB for parameter tuning. Key components include a magnitude calculator, optimized using Karnaugh mapping, and a 3-bit comparator. The critical path analysis identifies efficiency bottlenecks, aiming to reduce propagation delay. Optimization efforts include gate sizing and supply voltage adjustments, achieving a 39.8% reduction in energy consumption while allowing a 50% increase in delay. This balance between speed and power efficiency is essential for practical neural acquisition systems. However, real-world applicability necessitates further testing under varied environmental conditions and component variability to ensure robustness and reliability. Addressing these challenges will enhance the practical viability of the circuit in precise, energy-efficient electronic applications.

Changzhou University (CN)
Openalex Percentile: Top 51%
Analog and Mixed-Signal Circuit Design
0.18
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Optimized Design of a 4-Bit Absolute-Value Detector — Zhengyi Liu · (2024) | TGRS Research Map | TGRS