Methods for chaotic signal estimation

Authors:
S. Kay;V. Nagesha
Affiliations:
Rhode Island Univ., Kingston, RI;-
Venue:
IEEE Transactions on Signal Processing
Year:
1995

Citing 0
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Abstract

A dynamic programming algorithm and a suboptimal but computationally efficient method for estimation of a chaotic signal in white Gaussian noise are proposed. The nonlinear map is assumed known so that only the initial condition need be estimated. Computer simulations confirm that both approaches produce efficient estimates at high signal-to-noise ratios