Results 241 to 250 of about 4,524 (286)

Comparison and Extension of Approximate 4-2 Compressors for Low-Power Approximate Multipliers

open access: yesIEEE Transactions on Circuits and Systems I: Regular Papers, 2020
Approximate multipliers attract a large interest in the scientific literature that proposes several circuits built with approximate 4-2 compressors.
Antonio G M Strollo   +2 more
exaly   +2 more sources

Comparative Review of Approximate Multipliers

2020 30th International Conference Radioelektronika (RADIOELEKTRONIKA), 2020
In 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
openaire   +1 more source

Configurable DSI partitioned approximate multiplier

Future Generation Computer Systems, 2021
Abstract 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
openaire   +1 more source

Approximation of Matrices by Gabor Multipliers

IEEE Signal Processing Letters, 2004
We 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
openaire   +1 more source

Design of Approximate Logarithmic Multipliers

Proceedings of the Great Lakes Symposium on VLSI 2017, 2017
Lower 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 0001   +3 more
openaire   +1 more source

Design and Evaluation of Approximate Logarithmic Multipliers for Low Power Error-Tolerant Applications [PDF]

open access: yesIEEE Transactions on Circuits and Systems I: Regular Papers, 2018
In this work, the designs of both non-iterative and iterative approximate logarithmic multipliers (LMs) are studied to further reduce power consumption and improve performance.
Weiqiang Liu   +2 more
exaly   +2 more sources

A note on an approximate lagrange multiplier rule

Mathematical Programming, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Joydeep Dutta   +2 more
openaire   +1 more source

Approximations to the Multiplier Method

SIAM Journal on Numerical Analysis, 1985
The 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.
openaire   +2 more sources

Design of an Approximate Multiplier with Time and Power Efficient Approximation Methods

Journal of Circuits, Systems and Computers, 2023
Approximate multipliers have gradually become a focus of research due to the emergence of fault-tolerant applications. This paper deals with the approximation methods for an approximation multiplier with truncation, probability transformation and a majority gate-based compressor chain.
Ruyi Liu   +5 more
openaire   +1 more source

Power Efficient Approximate Booth Multiplier

2018 IEEE International Symposium on Circuits and Systems (ISCAS), 2018
Power 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
openaire   +1 more source

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