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A High Accuracy Approximate Multiplier with Error Correction
2020 IEEE International Symposium on Circuits and Systems (ISCAS), 2020A novel approximate multiplier with tunable accuracy modes which leverages an inaccurate 4 × 4 multiplier is proposed. The inaccurate multipliers achieve a power reduction of 17.98%–34.15% over corresponding accurate designs with a maximal absolute relative error of 22.2%. A Gaussian filter is implemented for image sharpening as a sample assessment and
Zhixi Yang +4 more
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Sine Approximation with a Gaussian Multiplier
Sampling Theory in Signal and Image Processing, 2007Recently, it was shown with the help of Fourier analysis that by incorporating a Gaussian multiplier into the truncated classical sampling series, one can approximate bandlimited signals of finite energy with an error that decays exponentially as a function of the number of involved samples.
Gerhard Sehmeisser, Frank Stenger
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Fixed-Width Multipliers and Multipliers-Accumulators With Min-Max Approximation Error
IEEE Transactions on Circuits and Systems I: Regular Papers, 2013Fixed-width multipliers have two n-bits operands and produce an approximate n-bits results for their product. These multipliers discard part of the partial products matrix, to reduce hardware cost, and employ extra correction functions to reduce approximation error.
Davide De Caro +4 more
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High accuracy approximate multiplier with error correction
2013 IEEE 31st International Conference on Computer Design (ICCD), 2013Approximate computing has gained significant attention due to the popularity of multimedia applications. In this paper, we propose a novel inaccurate 4:2 counter that can effectively reduce the partial product stages of the Wallace Multiplier. Compared to the normal Wallace multiplier, our proposed multiplier can reduce 10.74% of power consumption and ...
Chia-Hao Lin, Ing-Chao Lin
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Stochastic subgradient methods with approximate Lagrange multipliers
2016 IEEE 55th Conference on Decision and Control (CDC), 2016We study the use of approximate Lagrange multipliers in the stochastic subgradient method for the dual problem in constrained convex optimisation. The use of approximate Lagrange multipliers in the optimisation (instead of the true multipliers) is motivated by the fact that it is possible to accurately approximate some non-convex control problems as ...
Víctor Valls, Douglas J. Leith
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OPACT: Optimization of Approximate Compressor Tree for Approximate Multiplier
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2022Weihua Xiao, Cheng Zhuo, Weikang Qian
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A Low-Cost Combinational Approximate Multiplier
2023 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS), 2023Zahra Hojati, Zainalabedin Navabi
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Logarithm-approximate floating-point multiplier
Microelectronics Journal, 2022Samaneh Rezaei +2 more
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Hybrid Partial Product-Based High-Performance Approximate Recursive Multipliers
IEEE Transactions on Emerging Topics in Computing, 2022Weiqiang Liu +2 more
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Ultraefficient imprecise multipliers based on innovative 4:2 approximate compressors
International Journal of Circuit Theory and Applications, 2021Mohammad Hossein Moaiyeri +1 more
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