DocumentCode :
1837110
Title :
Binary synchronization of chaos in hybrid cellular automata for low complexity image compression and transmission
Author :
Dogaru, R. ; Dogaru, I. ; Hyongsuk Kim ; Sungsik Shin ; Oubong Gwun
Author_Institution :
Dept. of Appl. Electron. & Inf. Eng., Univ. Politeh. of Bucharest, Bucharest, Romania
fYear :
2010
fDate :
3-5 Feb. 2010
Firstpage :
1
Lastpage :
7
Abstract :
This paper exploits an interesting property of a certain type of elementary cellular automata, namely hybrid cellular automata (HCA) defined by rule 101 and its negate. Such HCA may be easily implemented on any CNN platform, and has some interesting properties. It provides a chaotic counting automaton instead of the traditional raster scan counter addressing the multiple sensing elements. Replacing raster scan with chaotic scan provided by the HCA allows implementation of both progressive image compression and spread spectrum transmission with a very low complexity of the transmitting sensor. The clear advantages of our system in terms of implementation complexity, makes it a valuable candidate for low power sensor networks applications.
Keywords :
cellular automata; data compression; image coding; binary synchronization; chaos; hybrid cellular automata; image scan; low complexity image compression; low power sensor networks applications; multiple sensing elements; spread spectrum transmission; transmitting sensor; Acoustic sensors; Automata; Chaos; Chaotic communication; Counting circuits; Image coding; Image sensors; Pixel; Sensor arrays; Sensor systems; cellular automata; chaos synchronization; image compression; image scan; nonlinear dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Nanoscale Networks and Their Applications (CNNA), 2010 12th International Workshop on
Conference_Location :
Berkeley, CA
Print_ISBN :
978-1-4244-6679-5
Type :
conf
DOI :
10.1109/CNNA.2010.5430253
Filename :
5430253
Link To Document :
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