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An Improved Design of Linear Congruential Generator based on Wordlengths Reduction Technique into FPGA

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 5 No. 1 (2015)

DOI
10.11591/ijece.v5i1.pp55-63
ISSN
2088-8708, 2088-8708
Published
2015-02-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

This paper exposes an improved design of linear congruential generator (LCG) based on wordlengths reduction technique into FPGA. The circuit is derived from LCG algorithm proposed by Lehmer and the previous design. The wordlengths reduction technique has been developed more in order to simplify further circuit. The proposed design based on the fact that in applications only specific input data were used. Some nets connections between blocks of the circuit are ignored or truncated. Simulations either behavior or timing have been done and the results is similar to its algorithm. Four best Xilinx chips have been chosen to extract comparison data of speed and occupied area. Further comparison of occupied area in terms of flip-flop and full adder has been made. In general, the proposed design overcome the previous published LCG circuit.

Collaboration network of the authors

8 authors · 10 co-authorship links · 3 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Syiah Kuala
  • King Saud University
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Shuja Ahmad AbbasiKing Saud University3
A.R.M. AlamoudKing Saud University2
Zulfikar ZulfikarUniversitas Syiah Kuala2
Yuwaldi AwayUniversitas Syiah Kuala1
Rafiqa Shahnaz NoorUniversitas Syiah Kuala1
Abdulrahman M. AlamoudKing Saud University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
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