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Volumn 26, Issue 2, 2013, Pages 677-684

Adaptive filtering noisy transcranial Doppler signal by using artificial bee colony algorithm

Author keywords

Adaptive IIR filter; Artificial bee colony algorithm; DE algorithm; Noise elimination; PSO algorithm; Transcranial Doppler signal

Indexed keywords

ADAPTIVE IIR FILTERS; ARTIFICIAL BEE COLONY ALGORITHMS; DE ALGORITHMS; NOISE ELIMINATION; PSO ALGORITHMS; TRANSCRANIAL DOPPLER;

EID: 84872686727     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2012.10.011     Document Type: Article
Times cited : (33)

References (30)
  • 3
    • 0029051142 scopus 로고
    • Recurrent radial basis function network for adaptive noise cancellation
    • S.A. Billings, and C.F. Fung Recurrent radial basis function network for adaptive noise cancellation Neural Net. 8 1995 273 290
    • (1995) Neural Net. , vol.8 , pp. 273-290
    • Billings, S.A.1    Fung, C.F.2
  • 4
    • 0016055733 scopus 로고
    • Theoretical analysis of the CW Doppler ultrasonic flowmeter
    • W.R. Brody, and J.D. Meindl Theoretical analysis of the CW Doppler ultrasonic flowmeter IEEE Trans. Biomed. Eng. 21 3 1974 183 192
    • (1974) IEEE Trans. Biomed. Eng. , vol.21 , Issue.3 , pp. 183-192
    • Brody, W.R.1    Meindl, J.D.2
  • 8
    • 0003807773 scopus 로고    scopus 로고
    • 3rd Edition Prentice-Hall, Inc. Englewood Cliffs, N.J
    • S. Haykin Adaptive Filter Theory 3rd Edition 1996 Prentice-Hall, Inc. Englewood Cliffs, N.J
    • (1996) Adaptive Filter Theory
    • Haykin, S.1
  • 11
    • 35148827874 scopus 로고    scopus 로고
    • An Idea Based on Honey Hee Swarm for Numerical Optimization
    • Engineering Faculty, Computer Engineering Department, Erciyes University
    • Karaboga, D.; 2005. An Idea Based on Honey Hee Swarm for Numerical Optimization. Technical Report-TR06. Engineering Faculty, Computer Engineering Department, Erciyes University.
    • (2005) Technical Report-TR06
    • Karaboga, D.1
  • 12
    • 75149134664 scopus 로고    scopus 로고
    • A survey: Algorithms simulating bee swarm intelligence
    • D. Karaboga, and B. Akay A survey: algorithms simulating bee swarm intelligence Artif. Intell. Rev. 31 1 2009 68 85
    • (2009) Artif. Intell. Rev. , vol.31 , Issue.1 , pp. 68-85
    • Karaboga, D.1    Akay, B.2
  • 13
    • 35148821762 scopus 로고    scopus 로고
    • A powerful and efficient algorithm for numerical function optimization: Artificial bee colony (ABC) algorithm
    • DOI 10.1007/s10898-007-9149-x
    • D. Karaboga, and B. Basturk A comprehensive survey: artificial bee colony (ABC) algorithm and applications J. Global Optim. 39 2007 459 471 (Pubitemid 47551831)
    • (2007) Journal of Global Optimization , vol.39 , Issue.3 , pp. 459-471
    • Karaboga, D.1    Basturk, B.2
  • 14
    • 34548479029 scopus 로고    scopus 로고
    • On the performance of artificial bee colony (ABC) algorithm
    • DOI 10.1016/j.asoc.2007.05.007, PII S1568494607000531
    • D. Karaboga, and B. Basturk A comprehensive survey: artificial bee colony (ABC) algorithm and applications Appl. Soft Comput. 8 1 2008 687 697 (Pubitemid 47374599)
    • (2008) Applied Soft Computing Journal , vol.8 , Issue.1 , pp. 687-697
    • Karaboga, D.1    Basturk, B.2
  • 15
    • 84901190234 scopus 로고    scopus 로고
    • A comprehensive survey: Artificial bee colony (ABC) algorithm and applications
    • Karaboga, D.; Gorkemli, B.; Ozturk, C.; Karaboga, N. A comprehensive survey: artificial bee colony (ABC) algorithm and applications. Artif. Intell. Rev.; 10.1007/s10462-012-9328-0, in press.
    • Artif. Intell. Rev.
    • Karaboga, D.1    Gorkemli, B.2    Ozturk, C.3    Karaboga, N.4
  • 16
    • 24344449658 scopus 로고    scopus 로고
    • Digital IIR filter design using differential evolution algorithm
    • N. Karaboga Digital IIR filter design using differential evolution algorithm EURASIP J. Appl. Signal Process. 8 2005 1 9
    • (2005) EURASIP J. Appl. Signal Process. , vol.8 , pp. 1-9
    • Karaboga, N.1
  • 17
    • 64149103429 scopus 로고    scopus 로고
    • A new design method based on artificial bee colony algorithm for digital IIR filters
    • N. Karaboga A new design method based on artificial bee colony algorithm for digital IIR filters J. Franklin Inst.: Eng. Appl. Math. 346 2009 328 348
    • (2009) J. Franklin Inst.: Eng. Appl. Math. , vol.346 , pp. 328-348
    • Karaboga, N.1
  • 18
    • 78650861871 scopus 로고    scopus 로고
    • A novel and efficient algorithm for adaptive filtering: Artificial bee colony algorithm
    • N. Karaboga, and B. Cetinkaya A novel and efficient algorithm for adaptive filtering: artificial bee colony algorithm Turk. J. Electr. Eng. Comput. Sci. 19 1 2011 175 190
    • (2011) Turk. J. Electr. Eng. Comput. Sci. , vol.19 , Issue.1 , pp. 175-190
    • Karaboga, N.1    Cetinkaya, B.2
  • 19
    • 0023383440 scopus 로고
    • Analysis of application possibilities of autoregressive modelling to Doppler blood flow signal spectral analysis
    • K. Kaluzynski Analysis of application possibilities of autoregressive modelling to Doppler blood flow signal spectral analysis Med. Biol. Eng. Comput. 25 1987 373 376 (Pubitemid 17116995)
    • (1987) Medical and Biological Engineering and Computing , vol.25 , Issue.4 , pp. 373-376
    • Kaluzynski, K.1
  • 20
    • 15844365538 scopus 로고    scopus 로고
    • Design and performance of adaptive systems based on structured stochastic optimization strategies
    • DOI 10.1109/MCAS.2005.1405897
    • D.J. Krusienski, and W.K. Jenkins Design and performance of adaptive systems based on structured stochastic optimization strategies IEEE Circuits Syst. Mag. 5 2005 8 20 (Pubitemid 40421795)
    • (2005) IEEE Circuits and Systems Magazine , vol.5 , Issue.1 , pp. 8-20
    • Krusienski, D.J.1    Jenkins, W.K.2
  • 21
    • 0023036226 scopus 로고
    • Simulation of real-time frequency estimators for pulsed Doppler systems
    • DOI 10.1016/0161-7346(86)90014-3
    • G. Leeuwen, A. Hoeks, and R. Reneman Simulation of real-time frequency estimators for pulsed Doppler systems Ultrason. Imaging 8 4 1986 252 271 (Pubitemid 17082886)
    • (1986) Ultrasonic Imaging , vol.8 , Issue.4 , pp. 252-271
    • Van Leeuwen, G.H.1    Hoeks, A.P.G.2    Reneman, R.S.3
  • 22
    • 0004789570 scopus 로고    scopus 로고
    • Extracting the spectrogram envelope using the improved percentile method
    • B. Liu, Y. Wang, and W. Wang Extracting the spectrogram envelope using the improved percentile method Tech. Acoust. 17 1 1997 9 11
    • (1997) Tech. Acoust. , vol.17 , Issue.1 , pp. 9-11
    • Liu, B.1    Wang, Y.2    Wang, W.3
  • 23
    • 0032971592 scopus 로고    scopus 로고
    • Spectrogram enhancement algorithm: A soft thresholding-based approach
    • DOI 10.1016/S0301-5629(99)00024-1, PII S0301562999000241
    • B. Liu, Y. Wang, and W. Wang Spectrogram enhancement algorithm: a soft thresholding-based approach Ultrasound Med. Biol. 25 1999 839 846 (Pubitemid 29270399)
    • (1999) Ultrasound in Medicine and Biology , vol.25 , Issue.5 , pp. 839-846
    • Liu, B.1    Wang, Y.2    Wang, W.3
  • 24
    • 0030290921 scopus 로고    scopus 로고
    • The genetic search approach: A new learning algorithm for adaptive IIR filtering
    • S.C. Ng, S.H. Leung, C.Y. Chung, A. Luk, and W.H. Lau The genetic search approach: a new learning algorithm for adaptive IIR filtering IEEE Signal Process. Mag. 13 1996 38 46 (Pubitemid 126518982)
    • (1996) IEEE Signal Processing Magazine , vol.13 , Issue.6 , pp. 38-46
    • Ng, S.C.1    Leung, S.H.2    Chung, C.Y.3    Luk, A.4    Lau, W.H.5
  • 26
    • 0030034878 scopus 로고    scopus 로고
    • Arterial Doppler signal simulation by time domain processing
    • DOI 10.1016/0929-8266(95)00135-2
    • Y. Wang, and P. Fish Arterial Doppler signal simulation by time domain processing Eur. J. Ultrasound 3 1 1996 71 81 (Pubitemid 26021294)
    • (1996) European Journal of Ultrasound , vol.3 , Issue.1 , pp. 71-81
    • Wang, Y.1    Fish, P.J.2
  • 28
    • 0016643045 scopus 로고
    • Adaptive noise cancelling: Principles and applications
    • B. Widrow, and J.R. Glover Adaptive noise cancelling: principles and applications Proc. IEEE 63 12 1975 1692 1716
    • (1975) Proc. IEEE , vol.63 , Issue.12 , pp. 1692-1716
    • Widrow, B.1    Glover, J.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.