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