Title :
IIR filter synthesis based on Real-Coded Genetic Algorithm for human audiogram emulation
Author :
Szopos, Ervin ; Saracut, Ioana ; Farcas, Calin ; Neag, Marius ; Topa, Marina
Author_Institution :
Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
Abstract :
This paper presents a method for optimized synthesis of IIR filters with user-defined magnitude response, based on a real-coded genetic algorithm. The application envisaged in this paper is the design of filters for hearing aids, which have to match given human audiograms. Two metrics for the differences between the synthesized and wanted magnitude characteristics are minimized by the optimization algorithm: the peak magnitude error and the total squared error. A design example is shown, with the IIR filter yielded by the proposed method for a particular audiogram compared against the FIR filter synthesized by using a previously reported method, for the same audiogram.
Keywords :
IIR filters; encoding; error analysis; genetic algorithms; hearing aids; medical signal processing; minimisation; FIR filter; IIR filter synthesis optimization; design example; hearing aid filter design; human audiogram emulation; infinite impulse response filter; magnitude characteristic difference metric minimization; peak magnitude error; real-coded genetic algorithm; synthesized magnitude characteristics; total squared error; user-defined magnitude response; wanted magnitude characteristics; Auditory system; Filtering algorithms; Finite impulse response filters; Genetic algorithms; IIR filters; Matched filters; Sociology;
Conference_Titel :
Signals, Circuits and Systems (ISSCS), 2015 International Symposium on
Conference_Location :
Iasi
Print_ISBN :
978-1-4673-7487-3
DOI :
10.1109/ISSCS.2015.7203955
