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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  2/2012 - 9

A Method for Designing FIR Filters with Arbitrary Magnitude Characteristic Used for Modeling Human Audiogram

SZOPOS, E. See more information about SZOPOS, E. on SCOPUS See more information about SZOPOS, E. on IEEExplore See more information about SZOPOS, E. on Web of Science, NEAG, M. See more information about  NEAG, M. on SCOPUS See more information about  NEAG, M. on SCOPUS See more information about NEAG, M. on Web of Science, SARACUT, I. See more information about  SARACUT, I. on SCOPUS See more information about  SARACUT, I. on SCOPUS See more information about SARACUT, I. on Web of Science, HEDESIU, H. See more information about  HEDESIU, H. on SCOPUS See more information about  HEDESIU, H. on SCOPUS See more information about HEDESIU, H. on Web of Science, FESTILA, L. See more information about FESTILA, L. on SCOPUS See more information about FESTILA, L. on SCOPUS See more information about FESTILA, L. on Web of Science
 
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Download PDF pdficon (730 KB) | Citation | Downloads: 1,016 | Views: 1,731

Author keywords
discrete Fourier transforms, error analysis, FIR filter, interpolation and non-uniform sampling

References keywords
digital(7), filter(6), design(5), systems(4), circuits(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2012-05-30
Volume 12, Issue 2, Year 2012, On page(s): 51 - 56
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.02009
Web of Science Accession Number: 000305608000009
SCOPUS ID: 84865294072

Abstract
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This paper presents an iterative method for designing FIR filters that implement arbitrary magnitude characteristics, defined by the user through a set of frequency-magnitude points (frequency samples). The proposed method is based on the non-uniform frequency sampling algorithm. For each iteration a new set of frequency samples is generated, by processing the set used in the previous run; this implies changing the samples location around the previous frequency values and adjusting their magnitude through interpolation. If necessary, additional samples can be introduced, as well. After each iteration the magnitude characteristic of the resulting filter is determined by using the non-uniform DFT and compared with the required one; if the errors are larger than the acceptable levels (set by the user) a new iteration is run; the length of the resulting filter and the values of its coefficients are also taken into consideration when deciding a re-run. To demonstrate the efficiency of the proposed method a tool for designing FIR filters that match human audiograms was implemented in LabVIEW. It was shown that the resulting filters have smaller coefficients than the standard one, and can also have lower order, while the errors remain relatively small.


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Cited-By SCOPUS

SCOPUS® Times Cited: 3
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Cited-By CrossRef

[1] Synthesis Tool Based on Genetic Algorithm for FIR Filters with User-Defined Magnitude Characteristics, Szopos, Ervin, Neag, Marius, Saracut, Ioana, Popescu, Victor, Topa, Marina, Circuits, Systems, and Signal Processing, ISSN 0278-081X, Issue 1, Volume 35, 2016.
Digital Object Identifier: 10.1007/s00034-015-0054-0
[CrossRef]

[2] Modelling Audiograms for People with Dementia Who Experience Hearing Loss Using Multiple Linear Regression Method, Elkhouly, Abeer, Rahim, Hasliza A, Abdulaziz, Nidhal, Abd Malek, Mohamed Fareq, 2020 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI), ISBN 978-1-7281-7315-3, 2020.
Digital Object Identifier: 10.1109/CCCI49893.2020.9256679
[CrossRef]

[3] IIR filter synthesis based on Real-Coded Genetic Algorithm for human audiogram emulation, Szopos, Ervin, Saracut, Ioana, Farcas, Calin, Neag, Marius, Topa, Marina, 2015 International Symposium on Signals, Circuits and Systems (ISSCS), ISBN 978-1-4673-7488-0, 2015.
Digital Object Identifier: 10.1109/ISSCS.2015.7203955
[CrossRef]

Updated 2 days, 5 hours ago

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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