Instantaneous Frequency Estimation When the Amplitude is a Stochastic Process Using Stochastic Calculus and Bootstrapping |
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Authors: | A Abutaleb |
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Affiliation: | (1) Previously with Massachusetts Institute of Technology (MIT), Lincoln Lab, Lexington, Massachusetts, USA. Currently with Cairo University, School of Engineering, Systems and Bioengineering Departments, Giza, Egypt |
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Abstract: | Stochastic calculus methods are used to estimate the frequencies of a polynomial sinusoid when the amplitude is modeled as
an Ornstein-Uhlenbeck process. Using stochastic calculus, one is able to develop a stochastic differential equation that relates
the observations to the frequencies. The likelihood function is obtained through Girsanov theory and the Radon-Nikodym derivative.
Maximum likelihood estimates are obtained numerically using stochastic annealing. Bootstrapping is used to improve the estimate
of the frequencies. |
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Keywords: | |
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