Nurhan Karaboga - researchr alias

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Viewing Publication 1 - 32 from 32

2022

A comparative study of multi-objective optimization algorithms for sparse signal reconstructionMurat Emre Erkoc, Nurhan Karaboga. air, 55(4):3153-3181, 2022. [doi]

2021

A novel sparse reconstruction method based on multi-objective Artificial Bee Colony algorithmMurat Emre Erkoc, Nurhan Karaboga. sigpro, 189:108283, 2021. [doi]

2019

Evolutionary algorithms for sparse signal reconstructionMurat Emre Erkoc, Nurhan Karaboga. sivp, 13(7):1293-1301, 2019. [doi]

A review on the cosine modulated filter bank studies using meta-heuristic optimization algorithmsGokcen Ozdemir, Nurhan Karaboga. air, 52(3):1629-1653, 2019. [doi]

2018

Design of QMF bank according to power spectral intensity using ABC algorithmTurker Koza, Nurhan Karaboga. siu 2018: 1-4 [doi]

Examination of success of the finite impulse response digital filter designed using the bat algorithmAhmet Logoglu, Turker Koza, Serdar Kockanat, Nurhan Karaboga. siu 2018: 1-4 [doi]

The effect of the increase in the number of channels to the performance in the Cosine Modulated Filter Bank designGokcen Ozdemir, Nurhan Karaboga. siu 2018: 1-4 [doi]

2017

2016

Noise cancellation application of ECG signal using artificial bee colony algorithmSerdar Kockanat, Turker Koza, Nurhan Karaboga, Murat Emre Erkoc. siu 2016: 1017-1020 [doi]

2015

2014

Design of FIR QMF bank using windowing functionsBircan Kamislioglu, Nurhan Karaboga. siu 2014: 95-99 [doi]

A comprehensive survey: artificial bee colony (ABC) algorithm and applicationsDervis Karaboga, Beyza Görkemli, Celal Ozturk, Nurhan Karaboga. air, 42(1):21-57, 2014. [doi]

2013

Adaptive filtering noisy transcranial Doppler signal by using artificial bee colony algorithmNurhan Karaboga, Fatma Latifoglu. eaai, 26(2):677-684, 2013. [doi]

Elimination of noise on transcranial Doppler signal using IIR filters designed with artificial bee colony - ABC-algorithmNurhan Karaboga, Fatma Latifoglu. dsp, 23(3):1051-1058, 2013. [doi]

The parameter extraction of the thermally annealed Schottky barrier diode using the modified artificial bee colonyNurhan Karaboga, Serdar Kockanat, Hulya Dogan. apin, 38(3):279-288, 2013. [doi]

2012

Artificial bee colony programming for symbolic regressionDervis Karaboga, Celal Ozturk, Nurhan Karaboga, Beyza Görkemli. isci, 209:1-15, 2012. [doi]

2009

A new design method based on artificial bee colony algorithm for digital IIR filtersNurhan Karaboga. jfi, 346(4):328-348, 2009. [doi]

Further performance analysis of the generalized MC DS-CDMA system in Nakagami-m fading channelsSeher Sener, Ibrahim Develi, Nurhan Karaboga. cee, 35(1):1-8, 2009. [doi]

2005

Artificial immune algorithm for IIR filter designAdem Kalinli, Nurhan Karaboga. eaai, 18(8):919-929, 2005. [doi]

Differential Evolution Algorithm for Designing Optimal Adaptive Linear CombinersNurhan Karaboga, Canan Aslihan Koyuncu. ausai 2005: 1063-1067 [doi]

Efficient Design of Fixed Point Digital FIR Filters by Using Differential Evolution AlgorithmNurhan Karaboga, Bahadir Cetinkaya. iwann 2005: 812-819 [doi]

Digital IIR Filter Design Using Differential Evolution AlgorithmNurhan Karaboga. ejasp, 2005(8):1269-1276, 2005. [doi]

2004

Performance Comparison of Genetic and Differential Evolution Algorithms for Digital FIR Filter DesignNurhan Karaboga, Bahadir Cetinkaya. advis 2004: 482-488 [doi]

Designing digital IIR filters using ant colony optimisation algorithmNurhan Karaboga, Adem Kalinli, Dervis Karaboga. eaai, 17(3):301-309, 2004. [doi]

1995

Rounding FIR Filter Coefficients Using Genetic AlgorithmsD. H. Horrocks, Nurhan Karaboga, M. Alçi. icannga 1995: 265-268 [doi]

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