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

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 onedimensional signals. Categories and Subject Descriptors J.2 [Physical Sciences and Engineering]: Engineering. General Terms Algorithms, Performance, Experimentation. Keywords Genetic algorithms, wavelets, optimization, evolved transforms.

• Type: Conference
• Year: 2005
• Where: GECCO
• Authors: Frank W. Moore
• Keywords: Coefficients, GECCO 2005, Genetic Algorithms, Standard Wavelet Inverse