Abstract
The quantisation process of filter coefficients required due to the finite length of the register provided to store the coefficients is an important step in the realization of a given filter. This process must be optimally carried out to minimise the error in the filter response caused by the quantisation of coefficients. Genetic algorithm is a heuristic optimisation procedure which is able to optimise both discrete and continuos functions efficiently. This paper explains how to use a genetic algorithm to round the coefficients of an FIR (finite-impulse-response) filter represented using fixed-point numbers and presents the simulation results.
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© 1995 Springer-Verlag/Wien
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Horrocks, D.H., Karaboğa, N., Alçi, M. (1995). Rounding FIR Filter Coefficients Using Genetic Algorithms. In: Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-7535-4_70
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DOI: https://doi.org/10.1007/978-3-7091-7535-4_70
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-82692-8
Online ISBN: 978-3-7091-7535-4
eBook Packages: Springer Book Archive