Accepted: 16 November 2019 One of the main steps in human identification is gender
classification which can increase the identification accuracy. In many smart phone …

Today, the concept of approximation in computing is becoming more and more a “hot topic”
to investigate how computing systems can be more energy efficient, faster, and less …

Abstract The introduction of Approximate Computing (AxC) into software allows achieving
several optimizations such as performance improvement, energy reduction, and area …

Human identification is a much attention problem in computer vision. Gender classification
plays an important role in human identification as preprocess step. So far, various methods …

This paper presents design and performance analysis of fixed-point two sided Jacobi
Singular Value Decomposition (SVD) algorithm on reconfigurable system using pipelined …

This paper presents a novel analysis and design of satellite digital transparent processors.
An equivalent noise model is developed and validated to characterize the nonideal …

The problem of accuracy evaluation is one of the most time consuming tasks during the fixed-
point refinement process. Analytical techniques based on perturbation theory have been …

In embedded systems, many numerical algorithms are implemented with fixed-point
arithmetic to meet area cost and power constraints. Fixed-point encoding decisions can …

For the digital signal processing (DSP) part of mixed-signal systems, fixed-point arithmetic is
favoured due to its high efficiency in terms of implementation cost, namely energy …

This paper presents a novel approach to fractional bit-width optimization of fixed-point
designs. We first propose a divide-and-conquer algorithm that can assign optimal fractional …