A pre-trained deep convolutional neural network (DCNN) is the feed-forward computation
perspective which is widely used for the embedded vision systems. In the DCNN, the 2D …

This paper presents a novel method to perform inner product computation based on the
distributed arithmetic principles. The input data are represented in the residue domain and …

Number comparison has long been recognized as one of the most fundamental non-
modular arithmetic operations to be executed in a non-positional Residue Number System …

Modular adder is one of the key components for the application of residue number system
(RNS). Moduli set with the form of 2 n-2 k-1 (1≤ k≤ n-2) can offer excellent balance among …

Hardware realization of FIR filters that are based on residue number systems leads to
increased speed and reduced power, where besides the popular Mersenne numbers …

Modular adders and multipliers have applications in residue number system (RNS)
arithmetic, cryptography, and error-checking, where general architectures are usually …

In this brief, we evaluate two techniques for obtaining mixed-radix digits using mixed-radix
conversion technique, for the residue number system (RNS) moduli set {2 n-1, 2 n, 2 n+ 1-1} …

The residue number system t={2n--1, 2n, 2n+ 1} has been extensively studied towards
perfection in realization of efficient parallel prefix modular adders, with (3+ 2log n? G) …

In this paper, we present speculation-driven prefix topology-based finite impulse response
(FIR) filters design using residue number system (RNS) arithmetic. The core objective of our …

New approach to hardware FIR filter implementation is described in this paper. Method
includes the conversion to the frequency domain, as well as the principles of residue …