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Understanding Brain Functional Dynamics Through Neural Koopman Operator With Control Mechanism. [PDF]
Zhou Z, Dan T, Wu G.
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Configurable DSI partitioned approximate multiplier
Future Generation Computer Systems, 2021Abstract Approximate computing has been considered for error-tolerant applications that can tolerate some loss of accuracy. It improves metrics such as dynamic power, delay, and area. Multipliers are key elements in arithmetic logic units and used in many applications such as Digital Signal Processing (DSP).
Fahimeh Hajizadeh +4 more
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Comparative Review of Approximate Multipliers
2020 30th International Conference Radioelektronika (RADIOELEKTRONIKA), 2020In the digital signal processing (DSP) system, multiplier is a significant arithmetic module. It contributes mainly in the power consumption and speed, and efficient multipliers are the need of the hour. Approximate computing has added a unique dimension in the area of digital design by reducing area, power and delay.
Sushree Sila P. Goswami +3 more
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Approximation of Matrices by Gabor Multipliers
IEEE Signal Processing Letters, 2004We present a fast Fourier transform based algorithm which allows to obtain the best approximation of a given time-variant linear system by approximating its matrix (in the Hilbert-Schmidt sense) by a Gabor multiplier, using a given tight Gabor frame. We illustrate the approach by approximating the inverse of a slowly time variant filter. Œ 2004 IEEE.
Feichtinger, Hans Georg +2 more
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Improved High Speed Approximate Multiplier
2020 4th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech), 2020Digital multiplication generally produces large complicated results due to its large inputs. As the applications of digital multipliers are inherently error tolerable, approximate multipliers are designed. The aim of using approximate multipliers is to reduce the size and complexity of the operation while still retaining its meaning. Compressors have a
T. Roshini +3 more
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Multipliers Based on Approximate Compressors
Micro and Nanosystems, 2021Background: Approximate computing is an emerging trend in recent year that trades off the requirement of exact computation for the improvement of speed and power performance. Objective: Researchers are trying to improve the speed and power performance proposing different algorithm. Method: This paper proposes approximate compressors used for the
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Approximations to the Multiplier Method
SIAM Journal on Numerical Analysis, 1985The author analyzes approximations to the multiplier method for solving optimization problems. In particular, the effect of replacing the constrained problem by the unconstrained optimization of a penalized Lagrangian over a subspace instead of a Hilbert space, is considered. Some applications to nonlinear optimal control are discussed.
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Power Efficient Approximate Booth Multiplier
2018 IEEE International Symposium on Circuits and Systems (ISCAS), 2018Power consumption is an important constraint in multimedia and deep learning applications. Approximate computing offers efficient approach to reduce power consumption. In this paper, novel approximation is proposed for radix-4 booth multiplication.
Suganthi Venkatachalam +2 more
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Design of Approximate Logarithmic Multipliers
Proceedings of the Great Lakes Symposium on VLSI 2017, 2017Lower power has been a main challenge for IC design. Approximate computing provides a new approach for low power design. Logarithmic multiplier (LM) is a kind of approximate multipliers in nature. In this paper, the design of both non-iterative and iterative approximate LMs (IALM) are studied to further reduce the power consumption and improve the ...
Weiqiang Liu +3 more
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Memristor-based approximate matrix multiplier
Analog Integrated Circuits and Signal Processing, 2017The parallel structure of matrix multipliers makes them fascinating candidates to benefit from memristors' high density architecture. This paper first explains a memristor-based analog vector---matrix multiplier suitable for approximate computing.
Mohsen Nourazar +3 more
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