DocumentCode :
418378
Title :
A binary-quantized pseudo-diffusion system
Author :
Fujisaka, Hisato ; Hamano, Daisuke ; Sakamoto, Masahiro ; Kamio, Takeshi
Author_Institution :
Fac. of Inf. Sci., Hiroshima City Univ., Japan
Volume :
4
fYear :
2004
fDate :
23-26 May 2004
Abstract :
A binary-quantized cellular array model of linear diffusion systems is investigated microscopically by introducing virtual particles. A deterministic rule applied to all the cells of the array determines the motion of the particles in the array. The probabilistic distribution in terms of the displacement of the particles in the array is similar to a Gaussian distribution, and its variance increases in proportion to time. The discontinuous velocity of the particles has almost uniform frequency spectrum distribution and delta-function-like autocorrelation. Thus, the virtual particles whose behavior is deterministic possess almost the same characteristics that probabilistic Brownian particles in diffusion systems have. We conclude that the cellular array is an excellent binary-quantized and discrete pseudo-diffusion system.
Keywords :
Brownian motion; Gaussian distribution; cellular arrays; random codes; random number generation; random sequences; stochastic systems; Gaussian distribution; binary-quantized cellular array model; binary-quantized pseudodiffusion system; delta function; deterministic rule; discontinuous velocity; discrete pseudodiffusion system; linear diffusion systems; probabilistic Brownian particles; probabilistic distribution; uniform frequency spectrum distribution; virtual particles; Autocorrelation; Circuit testing; Digital signal processing chips; Electronic mail; Equations; Frequency; Gaussian distribution; Information science; Logic arrays; Microscopy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on
Print_ISBN :
0-7803-8251-X
Type :
conf
DOI :
10.1109/ISCAS.2004.1329105
Filename :
1329105
Link To Document :
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