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, e.g., Journal
IEEE Transactions on Signal Processing
Volume
43
Issue
8
Citation/Publisher Attribution
Kay, Steven. "Methods for Chaotic Signal Estimation." IEEE Transactions on Signal Processing 43, 8 (1995): 2013-2016. doi: 10.1109/78.403367.
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