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Weak Signal Detection And Extraction From Chaos Background Signal

Posted on:2008-03-05Degree:MasterType:Thesis
Country:ChinaCandidate:W XuFull Text:PDF
GTID:2178360212976138Subject:Signal and Information Processing
Abstract/Summary:PDF Full Text Request
A wide variety of natural phenomena exhibit complicated, unpredictable and seemingly stochastic behavior. Chaotic dynamics appears to provide a relatively simple and possibly more satisfactory explanation to a lot of complicated phenomena among them. Chaos theory shows that simple deterministic systems with only a few variables can generate seemingly stochastic behavior. The purpose of chaotic theory is discovering possible simple rules which hide in the seemingly random phenomena. Chaos is an outer complex behavior of nonlinear definite system, produced by the system's internal stochastic property, a non-stochastic movement while looks like stochastic. Chaotic signal differs from deterministic periodic signal, it also differs from stochastic signal. Chaos is essentially deterministic, but the long-playing trend cannot be forecasted.In some area, chaos exists by a form of noise or other signals that not be interested. At this time people generally are interested in signal detected and extracted from chaos background signal. These signal...
Keywords/Search Tags:weak signal detection, chaos signal, RBF neural network, reconstruct phase space, genetic algorithm
PDF Full Text Request
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