Title

Methods for Chaotic Signal Estimation

Document Type

Article

Date of Original Version

1-1-1995

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. © 1995 IEEE

Publication Title

IEEE Transactions on Signal Processing

Volume

43

Issue

8

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