A genetic algorithm for optimized reconstruction of quantized one-dimensional signals

Authors:
Frank W. Moore
Affiliations:
University of Alaska Anchorage, Anchorage, AK
Venue:
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Year:
2005

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Abstract

This paper describes a genetic algorithm (GA) that evolves optimized sets of coefficients for one-dimensional signal reconstruction under lossy conditions due to quantization. Beginning with a population of mutated copies of the set of coefficients describing a standard wavelet inverse transform, the genetic algorithm evolves a new set of coefficients that significantly reduces mean squared error (relative to the performance of the selected wavelet) for various classes of one-dimensional signals.