Title :
Estimation and statistical analysis of exponential polynomial signals
Author :
Golden, Stuart ; Friedlander, Benjamin
Author_Institution :
California Univ., Davis, CA, USA
fDate :
11/1/1998 12:00:00 AM
Abstract :
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
Keywords :
parameter estimation; polynomials; signal representation; statistical analysis; EPS model; complex polynomial; exponential polynomial signals; finite-order polynomials; parameter estimation; perturbation analysis; signal representation; statistical analysis; suboptimal algorithm; Algorithm design and analysis; Amplitude estimation; Chirp; Maximum likelihood estimation; Parameter estimation; Phase estimation; Polynomials; Signal analysis; Statistical analysis; Taylor series;
Journal_Title :
Signal Processing, IEEE Transactions on