Multiplication is one of the widely used arithmetic operations in a variety of applications,
such as image/video processing and machine learning. FPGA vendors provide high …

Approximate arithmetic operators, such as adders and multipliers, are increasingly used to
satisfy the energy and performance requirements of resource-constrained embedded …

A technique for efficiently multiplying two signed numbers using limited area and high speed
is presented in this paper. This work uses both the Booth and Vedic multiplication sutra …

The main focus of approximate dividers has been on ASIC-based designs. However, for
emerging applications, there is a need to design approximate arithmetic units compatible …

Approximate computing (AxC) provides the scope for achieving disproportionate gains in a
system's power, performance, and area (PPA) metrics by leveraging an application's …

In this work, with the aim of reducing the cost of the implementation of the traditional 2D FHN
neuron circuit, a pair of diodes connected in an anti-parallel direction is used to replace the …

This letter presents a novel leading zero counter (LZC) able to efficiently exploits the
hardware resources available within state-of-the-art FPGA devices to achieve high-speed …

Linear prediction analysis is a crucial technique used in speech coding to compress speech
signals and facilitate their reliable transmission over limited bandwidth or storage space …

Quantization is a promising approach to reduce the computational load of neural networks.
The minimum bit-width that preserves the original accuracy varies significantly across …

Recently, due to the immense growth of computing power, image processing and
Convolutional neural networks (CNN) have regained gigantic attention because of the …