DocumentCode
380527
Title
Online Morse code automatic recognition with neural network system
Author
Luo, Ching-Hsing ; Fuh, Duu-Tong
Author_Institution
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
Volume
1
fYear
2001
fDate
2001
Firstpage
684
Abstract
In this paper proposed a new mixture of expert algorithm to improve the recognition rate of online Morse code automatic recognition system. From three person tests, the neural network has the average recognition rate up to 94.4%. The mixture of experts neural network has successfully overcome the difficulty of analyzing severely unstable Morse code time series.
Keywords
codes; neural nets; signal processing; time series; mixture of experts neural network; neural network system; online Morse code automatic recognition; recognition rate improvement; severely unstable Morse code time series analysis; three person tests; tone series; Code standards; Computer networks; Neural networks; Pattern recognition; Prediction algorithms; Signal processing; Signal processing algorithms; Switches; Testing; Time series analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
ISSN
1094-687X
Print_ISBN
0-7803-7211-5
Type
conf
DOI
10.1109/IEMBS.2001.1019028
Filename
1019028
Link To Document