Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
EN
Kurumsal BaşvuruSign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User GuideGreen Science

Language

Kurumsal Başvuru

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Contact

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2026 Raw Data Library. All rights reserved.
PrivacyTermsContact
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. A latency optimized biased implementation style weak-indication self-timed full adder

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
English
2015

A latency optimized biased implementation style weak-indication self-timed full adder

0 Datasets

0 Files

English
2015
Facta universitatis - series Electronics and Energetics
Vol 28 (4)
DOI: 10.2298/fuee1504657b

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Padmanabhan Balasubramanian
Padmanabhan Balasubramanian

Institution not specified

Verified

Abstract

This article presents a biased implementation style weak-indication self-timed full adder design that is latency optimized. The proposed full adder is constructed using the delay-insensitive dual-rail code and adheres to the 4-phase handshaking. Performance comparisons of the proposed full adder vis-à-vis other strong and weak-indication full adders are done on the basis of a 32-bit self-timed ripple carry adder architecture, with the full adders and ripple carry adders realized using a 32/28nm CMOS process. The results show that the proposed full adder leads to reduction in latency by 63.3% against the best of the strong-indication full adders whilst reporting decrease in area by 10.6% and featuring comparable power dissipation. On the other hand, when compared with the existing optimized weak-indication full adder, the proposed full adder is found to minimize the latency by 25.1% whilst causing an increase in area by just 1.6%, however, with no associated power penalty.

How to cite this publication

Padmanabhan Balasubramanian (2015). A latency optimized biased implementation style weak-indication self-timed full adder. Facta universitatis - series Electronics and Energetics, 28(4), pp. 657-671, DOI: 10.2298/fuee1504657b.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Article

Year

2015

Authors

1

Datasets

0

Total Files

0

Language

English

Journal

Facta universitatis - series Electronics and Energetics

DOI

10.2298/fuee1504657b

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access