Communication through chaotic modeling of languages.
We propose a communication technique that uses modeling of language in the encoding-decoding process of message transmission. A temporal partition (time-delay coarse graining of the phase space based on the symbol sequence statistics) is introduced with little if any intervention required for the targeting of the trajectory. Message transmission is performed by means of codeword, i.e., specific targeting instructions are sent to the receiver rather than the explicit message. This approach yields (i) error correction availability for transmission in the presence of noise or dropouts, (ii) transmission in a compressed format, (iii) a high level of security against undesirable detection, and (iv) language recognition.
Baptista
M S
MS
Institute for Plasma Research, University of Maryland, College Park, Maryland 20742, USA.
Rosa
E
E
Grebogi
C
C
D001185:Artificial Intelligence; D003142:Communication; D008962:Models, Theoretical; D017711:Nonlinear Dynamics