Document Type
Article
Publication Date
6-2009
Publication Title
Systems Science
Volume
35
Issue
2
First page number:
41
Last page number:
47
Abstract
This paper discusses the symbolic functional decomposition method for implementing finite state machines in field-programmable gate array devices. This method is a viable alternative to the presently widespread two-step approaches to the problem, which consist of separate encoding and mapping stages; the proposed method does not have a separate decomposition step instead, the state's final encoding is introduced gradually on every decomposition iteration. Along with general description of the functional symbolic decomposition method's steps, the paper discusses various algorithms implementing the method and presents an example realisation of the most interesting algorithm. In the end, the paper compares the results obtained using this method on standard benchmark FSMs and shows the advantages of this method over other state-of-the-art solutions.
Keywords
Algorithms; Decomposition method; Encoding; Gate array circuits; Iterative methods (Mathematics); Mappings (Mathematics); Sequential machine theory
Disciplines
Computer Engineering | Electrical and Computer Engineering | Electrical and Electronics | Signal Processing | Systems and Communications
Language
English
Permissions
Posted with permission from the Wrocław University of Technology, all rights reserved. You may download, display, print and reproduce this material in unaltered form (attaching a copy of this notice) for your personal, non-commercial use. The Wrocław University of Technology reserves the right to revoke such permission at any time.
Repository Citation
Szotkowski, P.,
Rawski, M.,
Selvaraj, H.
(2009).
A Graph-based Approach to Symbolic Functional Decomposition of Finite State Machines.
Systems Science, 35(2),
41-47.
https://digitalscholarship.unlv.edu/ece_fac_articles/281
Included in
Computer Engineering Commons, Electrical and Electronics Commons, Signal Processing Commons, Systems and Communications Commons
Comments
Best copy available