Abstract
This paper describes a general, nonanalytical method
for deriving Fourier series coefficients using a
genetic algorithm. Non-analytical methods are often
needed in problems where lost portions of a complex
signal require restoration. We discuss some of the
difficulties involved in working with the associated
trigonometric polynomials and propose an alternative
solution for adapting genetic algorithms for this class
of problems. We demonstrate the efficacy of our
approach with a case study. Our particular case study
features the processing of data that has been collected
by a novel optical waveslope instrument, which measures
the topography of water surfaces.
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