 |
| Research article summary (published 30 Aug 2002): |
Morse code recognition system with fuzzy algorithm for disabled persons.
Full Abstract
It is generally known that Morse code is an efficient input method for one or two switches and it is made from long and short sounds separated by silence between the sounds. The long-to-short ratio in the definition is always 3 to 1, but the long-to-short ratio variation for a disabled person is so large that it is difficult to recognize. In the last few years, several Morse code recognition methods have been successfully built on the LMS adaptive algorithms and neural network algorithm. But LMS-related adaptive algorithms need mass computation to infer the characteristic of the controller; also the neural network must learn first, by inputting some data before it is used to recognize the Morse code sequence. In this study, two fuzzy algorithms are used to recognize the unstable Morse code sequences and the result demonstrates a significant improvement of recognition for real time signal processing in a single-chip microprocessor.
Learn Faster Today Improve your study skills
Author information
Author/s: Wu, C-M (CM); Luo, C-H (CH);
Affiliation: Department of Electrical Engineering, National Cheng Kung University, Tainan 70101, Taiwan, ROC.
Journal and publication information
Publication Type: Comparative Study; Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't
Journal: Journal of medical engineering & technology (J Med Eng Technol), published in England. (Language: eng)
Reference: -2002 Sep-Oct; vol 26 (issue 5) : pp 202-7
Dates: Created 2002/12/18; Completed 2003/05/09; Revised 2006/11/15;
PMID: 12487711, status: MEDLINE (last retrieval date: 11/6/2008)
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
External Links for this article (including full text providers, if available):
Click Electronic Full-text Provider Links to see options for finding the electronic full text links to this article. Note there may be a subscription or fee required for access to the full text. See our FAQ for information on finding FREE full text articles.
This article may also be located in paper journal collections available in many libraries. Use the Journal and Publication Information above to find the full article.
MeSH headings (categories)
This article was linked to the MESH Headings shown below.
|
Related articles
This article has not been indexed for related articles as yet, however you can still use the live related article search links below.
See a large map of 100+ related articles.