DocumentCode :
1749208
Title :
A statistical solution to a text decoding challenge problem
Author :
Cai, Xindi ; Xu, Rui ; Samaranayake, V.A. ; Wunsch, Donald C., II
Author_Institution :
Dept. of Electr. & Comput. Eng., Missouri Univ., Rolla, MO, USA
Volume :
2
fYear :
2001
fDate :
2001
Firstpage :
1043
Abstract :
Given an encoded unknown text message in the form of a three dimensional spatial series generated by the use of four smooth nonlinear functions, we use a method based on simple statistical reasoning to pick up samples for rebuilding the four functions. The estimated functions are then used to decode the sequence. The experimental results show that our method gives a nearly perfect decoding, enabling us to submit a 100% accurate solution to the IJCNN challenge problem
Keywords :
binary sequences; decoding; nonlinear functions; statistical analysis; IJCNN challenge problem; encoded unknown text message; nearly perfect decoding; smooth nonlinear functions; statistical reasoning; statistical solution; text decoding; three dimensional spatial series; Binary sequences; Computational intelligence; Decoding; Distributed computing; Encoding; Laboratories; Mathematics; Random variables; Smoothing methods; Statistical distributions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location :
Washington, DC
ISSN :
1098-7576
Print_ISBN :
0-7803-7044-9
Type :
conf
DOI :
10.1109/IJCNN.2001.939504
Filename :
939504
Link To Document :
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