Instantaneous frequency estimation using stochastic calculus and bootstrapping
EURASIP Journal on Applied Signal Processing
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We derive and analyze a suboptimal algorithm for estimating the unknown parameters of an exponential polynomial signal (EPS) model. The EPS model represents a signal as an exponent raised to a complex polynomial of time. That is, the phase and the logarithm of the amplitude are approximated as finite-order polynomials of time