In this paper, the designs of both non-iterative and iterative approximate logarithmic
multipliers (ALMs) are studied to further reduce power consumption and improve …

The logarithmic number system (LNS) has found appeal in digital arithmetic because it
allows multiplication and division to be performed much faster and more accurately than with …

Transcendental functions are commonly used in many fields such as nonlinear functions of
artificial neural networks (ANNs). Due to nonlinearity of these functions, hardware …

State-of-the-art approaches that perform root computations based on the COordinate
Rotation Digital Computer (CORDIC) algorithm suffer from high latency in performing …

This paper presents a novel method named the Unified Mitchell-based Approximation
(UMA) to obtain an optimized Mitchell-based logarithmic conversion circuit for any desired …

We present a CORDIC (Coordinate Rotation Digital Computer)-based method to compute
the logarithm function with base 2 and validate this method by software simulation and …

Based on an error-flattened, non-uniform-region linear-approximation algorithm, this brief
proposes a low-error and a cost-efficient design procedure for realizing an optimized shift …

The approximation of non-linear operation can simplify the logic design and save the system
resources during the neural network inference on Field-Programmable Gate Array (FPGA) …

Nonlinear functions are widely used as activation functions in artificial neural networks,
which have a great impact on the fitting ability of artificial neural networks. Due to the …

In this article, we propose a multiplierless piecewise linear (PWL) approximation
computation (ML-PLAC) method for nonlinear unary functions. ML-PLAC seeks the minimum …