Energy-Efficient approximate compressor design for error-resilient digital signal processing-Reference-Cited by-同舟云学术

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Energy-Efficient approximate compressor design for error-resilient digital signal processing

Published:2022-09-07 Issue: Volume: Page:1-23
ISSN:0020-7217
Container-title:International Journal of Electronics
language:en
Short-container-title:International Journal of Electronics

Author:

Avan Amin¹,Taheri MohammadReza²,Moaiyeri Mohammad Hossein³,Navi Keivan²

Affiliation:

1. Department of Electrical, Computer and Software Engineering, Ontario Tech University, Oshawa, Ontario, Canada

2. Department of Computer Science and Engineering, Shahid Beheshti University, Tehran, Iran

3. Faculty of Electrical Engineering, Shahid Beheshti University, Tehran, Iran

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207217.2022.2117854

Reference40 articles.

1. Dual-Quality 4:2 Compressors for Utilizing in Dynamic Accuracy Configurable Multipliers

2. Processing-in-Memory Acceleration of MAC-based Applications Using Residue Number System

3. An energy and area efficient 4:2 compressor based on FinFETs

4. High‐speed energy efficient process, voltage and temperature tolerant hybrid multi‐threshold 4:2 compressor design in CNFET technology

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1. Performance evaluation of low power reconfigurable multiplier architectures using different adders for signal processing applications;AIP Conference Proceedings;2024

2. A Task Scheduler for Mobile Edge Computing Using Priority-based Reinforcement Learning;2023 IEEE Symposium Series on Computational Intelligence (SSCI);2023-12-05

3. A State-of-the-Art Review of Task Scheduling for Edge Computing: A Delay-Sensitive Application Perspective;Electronics;2023-06-08

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