2018
DOI: 10.1016/j.eswa.2018.03.045
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A new approach for the design of digital frequency selective FIR filters using an FPA-based algorithm

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Cited by 17 publications
(7 citation statements)
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“…Sayısal sonuçlara göre, önerilen yaklaşımla tasarlanan süzgeç, işareti diğer yaygın olarak kullanılan geleneksel süzgeçlere göre daha hassas bir şekilde ayrıştırmıştır. [5][6][7][8][9][10][11][12][13][14][15][16][17][18]. Bu nedenle, önerilen yaklaşım düşük derecelerle keskin geçiş bandı, düşük seviyeli geçirme bandı dalgalanması ve yüksek durdurma bandı zayıflaması gibi önemli avantajlar sunmaktadır.…”
Section: Figure a Design Scheme Of The Proposed Methodsunclassified
“…Sayısal sonuçlara göre, önerilen yaklaşımla tasarlanan süzgeç, işareti diğer yaygın olarak kullanılan geleneksel süzgeçlere göre daha hassas bir şekilde ayrıştırmıştır. [5][6][7][8][9][10][11][12][13][14][15][16][17][18]. Bu nedenle, önerilen yaklaşım düşük derecelerle keskin geçiş bandı, düşük seviyeli geçirme bandı dalgalanması ve yüksek durdurma bandı zayıflaması gibi önemli avantajlar sunmaktadır.…”
Section: Figure a Design Scheme Of The Proposed Methodsunclassified
“…In addition, the overview of Whale Optimization Algorithm, Spotted Hyena Optimizer, symbiotic organisms search algorithms and its applications is presented by Gharehchopogh et al 56 . Also, Luis and Arribas 57 , have proposed a new approach for the design of digital frequency selective FIR filters using an flowers pollination algorithm (FPA), with a novel multiple fitness function, to get optimised filter coefficients that best approximate ideal specifications. Yadav et al 58 , applied grasshopper optimization algorithm (GOA) to design a linear phase finite impulse response (FIR) low pass, high pass, band pass, and band stop filters.…”
Section: Related Workmentioning
confidence: 99%
“…However, this filter design has the disadvantage of requiring complicated and enormous computation processing for adjusting the ripples of the bands and the width of the transition-band. In contrast to previous studies [18], [25], Frequency Response Masking (FRM)based filters outperform other designed filters in terms of the transition bandwidth and maximum passband ripple for a given order of filter within an acceptable limit [17], [19], [28]. Recently, Roy and Chandra reported enhanced FRM method using an interpolated band-pass filter, resulting in novel FRM-based filters with more excellent frequency characteristics [28].…”
Section: Introductionmentioning
confidence: 96%
“…The basic idea for the design of MAXFLAT FIR filters is to use a mathematically proved closed-form solution which satisfies MAXFLAT constraints at the ends of the frequency band and is mapped to the transfer function for the computation of coefficients of filters [6]- [13]. However, classical design involves approximation of the desired frequency response by some suitable closed-form polynomial [14]- [18] because such a closed-form solution mainly focuses on the flatness of the filter but not on the exact frequency response [11]- [13]. Several methods and implementation tricks have been proposed for the design of MAXFLAT FIR half-band filters [15], [16], [19], [20].…”
Section: Introductionmentioning
confidence: 99%
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