Title: Application of optimum digital filter based on genetic algorithms for transition edge sensor detector

Authors: Noha Shaaban

Addresses: The Egyptian Nuclear and Radiological Regulatory Authority, P.O. Box 11762, Nasr City, Cairo, Egypt

Abstract: We propose a new signal processing method to improve the energy resolution of superconducting tunnel junction X-ray detectors. An optimum FIR (Finite Impulse Response) filter design tool based on fast Fourier transform was developed using genetic algorithms. The fast Fourier transform is perhaps one of the most used algorithms today in the analysis and manipulation of digital or discrete data. The main feature of this tool is that it needs a minimum number of parameters to specify the FIR filter specifications. This tool was applied successfully on transition edge sensor detector.

Keywords: transition edge detection; cut-off frequency; filter width; genetic algorithms; DSP; digital signal processing; FIR filter design; finite impulse response; digital filters; energy resolution; superconducting tunnel junction X-ray detectors; fast Fourier transform; FFT.

DOI: 10.1504/IJSISE.2015.070488

International Journal of Signal and Imaging Systems Engineering, 2015 Vol.8 No.3, pp.198 - 203

Received: 07 Sep 2012
Accepted: 04 Oct 2013

Published online: 08 Jul 2015 *

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