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Approximate θ-multipliers on Banach algebras [PDF]
Surveys in Mathematics and its Applications, 2022 We show that each approximate θ-multiplier T: A ⟶ A on without order Banach algebra A is an exact θ-multiplier, and for every approximate θ-multiplier T there corresponds a unique θ-multiplier near to T. Moreover, each mapping S: A ⟶ A which is near to θ-
Abbas Zivari-Kazempour
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Chips, 2023 For Convolutional Neural Networks (CNNs), Depthwise Separable CNN (DSCNN) is the preferred architecture for Application Specific Integrated Circuit (ASIC) implementation on edge devices.
Jin-Jia Shang +3 more
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A High Speed Approximate Multiplier Design [PDF]
Jisuanji gongcheng, 2019 Approximate compute,as a new calculation method that effectively balances accuracy and performance,has been widely used in applications such as image processing,data mining,and multimedia technology that can tolerate a small number of computational ...
WU Dexiang, BAN Tian
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Comparative Study of Approximate Multipliers [PDF]
Proceedings of the 2018 Great Lakes Symposium on VLSI, 2018 Approximate multipliers are widely being advocated for energy-efficient computing in applications that exhibit an inherent tolerance to inaccuracy. However, the inclusion of accuracy as a key design parameter, besides the performance, area and power, makes the identification of the most suitable approximate multiplier quite challenging.
Mahmoud Masadeh +2 more
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Approximate Multipliers Based on New Approximate Compressors [PDF]
IEEE Transactions on Circuits and Systems I: Regular Papers, 2018 Approximate computing is an emerging trend in digital design that trades off the requirement of exact computation for improved speed and power performance. This paper proposes novel approximate compressors and an algorithm to exploit them for the design of efficient approximate multipliers.
Esposito, Darjn +4 more
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On the Design of Logarithmic Multiplier Using Radix-4 Booth Encoding
IEEE Access, 2020 This paper proposes an energy-efficient approximate multiplier which combines radix-4 Booth encoding and logarithmic product approximation. Additionally, a datapath pruning technique is proposed and studied to reduce the hardware complexity of the ...
Ratko Pilipovic, Patricio Bulic
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IEEE Access, 2021 This article proposes boosting the multiplication performance for convolutional neural network (CNN) inference using a precision prediction preprocessor which controls various precision approximate multipliers.
Issam Hammad +3 more
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Memories - Materials, Devices, Circuits and Systems, 2022 IoT uses wireless sensor networks (WSN) to deploy many sensors to track environmental and physical parameters. The WSN measurements are frequently contaminated and altered by noise.
Charles Rajesh Kumar J. +2 more
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Power and area efficient FIR filter architecture in digital encephalography systems
e-Prime: Advances in Electrical Engineering, Electronics and Energy, 2023 In the process of Electroencephalogram (EEG) acquisition, the electrical signals from the brain are contaminated by numerous noise sources and artifacts.
Sudhanshu Janwadkar, Rasika Dhavse
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Uncertainties in pion and kaon fragmentation functions [PDF]
, 2012 We present a detailed assessment of uncertainties in parton-to-pion and parton-to-kaon fragmentation functions obtained in recent global QCD analyses of single-inclusive hadron production data at next-to-leading order accuracy. We use the robust Lagrange
Epele, Manuel +3 more
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