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OPTIMAL MULTIOBJECTIVE DESIGN OF DIGITAL FILTERS USING TAGUCHI OPTIMIZATION TECHNIQUE Cover

OPTIMAL MULTIOBJECTIVE DESIGN OF DIGITAL FILTERS USING TAGUCHI OPTIMIZATION TECHNIQUE

Journal of Electrical Engineering
Volume 65 (2014): Issue 1 (January 2014)
By: Abderrahmane Ouadi,  Hamid Bentarzi and  Abdelmadjid Recioui  
Open Access
|Feb 2014

References

  1. [1] ANTONIOU, A. : Digital Filters: Analysis and Design, 2nd ed., McGraw Hill, New York, 1993.
    Search in Google Scholar
  2. [2] ANTONIOU, A. : Digital Signal Processing: Signals, Systems and Filters, McGraw Hill, 2006.
    Search in Google Scholar
  3. [3] DUMITRESCU, B.-NIEMISTO, R. : Multistage IIR Filter Design using Convex Stability Domains Defined by Positive Re- alness, IEEE Trans. Signal Process 52 No. 4 (2004), 962-974.10.1109/TSP.2004.823497
    Search in Google Scholar
  4. [4] HO, C. Y.-F.-LING, B. W.-K.-CHI, Z.-W.-SHIKH-BA- HAEI, M.-LIU, Y.-Q.-TEO, K.-L. : Design of Near-Allpass Strictly Stable Minimal-Phase Real Valued Rational IIR Fil- ters, IEEE Trans. Circuits Syst. II, Exp. Briefs 55 No. 8 (2008), 781-785.
    Search in Google Scholar
  5. [5] JIANG, A.-KWAN, H. K. : IIR Digital Filter Design with New Stability Constraint based on Argument Principle, IEEE Trans. Circuits Syst. I, Reg. Papers 56 No. 3 (2009), 583-593.
    Search in Google Scholar
  6. [6] JIANG, A.-KWAN, H. K. : Minimax Design of IIR Digital Filters using Iterative SOCP, IEEE Trans. Circuits Syst. I, Reg. Papers 57 No. 6 (2010), 1326-1337.
    Search in Google Scholar
  7. [7] JIANG, A.-KWAN, H. K. : Minimax Design of IIR Digital Filters using SDP Relaxation Techniques, IEEE Trans. Circuits Syst. I, Reg. Papers 57 No. 2 (2010), 378-390.
    Search in Google Scholar
  8. [8] LAI, X. P. : Optimal Design of Nonlinear-Phase FIR Filters with Prescribed Phase Error, IEEE Trans. Signal Process 57 No. 9 (2009), 3399-3410.
    Search in Google Scholar
  9. [9] LAI, X. P.-LIN, Z. P. : Minimax Design of IIR Digital Filters using a Sequential Constrained Least-Squares Method, IEEE Trans. Signal Process. 58 (2010), 3901-3906.10.1109/TSP.2010.2046899
    Search in Google Scholar
  10. [10] LANG, M. C. : Least-Squares Design of IIR Filters with Pre- scribed Magnitude and Phase Responses and a Pole Radius Con- straint, IEEE Trans. Signal Process 48 No. 11 (2000), 3109-3121.10.1109/78.875468
    Search in Google Scholar
  11. [11] LU, W. S. : An Argument-Principle based Stability Criterion and Application to the Design of IIR Digital Filtersinbook Proc. IEEE Int. Symp. Circuits Syst., Island of Kos, Greece.
    Search in Google Scholar
  12. [12] LU, W. S. : Design of Stable Minimax IIR Digital Filters us- ing Semidefinite Programming, Proc. IEEE Int. Symp. Circuits Syst., vol. 1, Geneva, Switzerland, 2000, pp. 355-358.
    Search in Google Scholar
  13. [13] LU, W. S. : Design of Recursive Digital Filters with Prescribed Stability Margin: A Parameterization Approach, IEEE Trans. Circuits Syst. II, Analog Digit. Signal Process 45 No. 9 (1998), 1289-1298.
    Search in Google Scholar
  14. [14] LU, W. S.-HINAMOTO, T. : Optimal Design of IIR Digital Filters with Robust Stability using Conic Quadratic Program- ming Updates, IEEE Trans. Signal Process. 51 No. 6 (2003), 1581-1592.
    Search in Google Scholar
  15. [15] LANG, M. C. : Constrained Design of Digital Filters with Ar- bitrary Magnitude and Phase Responses, PhD Dissertation, Vi- enna Univ. Technol., Vienna, Austria, 1999.
    Search in Google Scholar
  16. [16] LU, W. S.-PEI, S. C.-TSENG, C. C. : A Weighted Least- Squares Method for the Design of Stable 1-D and 2-D IIR Digital Filters, IEEE Trans. Signal Process. 46 No. 1 (1998), 1-10.
    Search in Google Scholar
  17. [17] OMOIFO, O. I.-HINAMOTO, T. : Optimal Design of Sta- ble Recursive Digital Filters using Unconstrained Optimization Methods, Proc. Int. Midwest Symp. Circuits Syst., Hiroshima, Japan 2, II-49II-52, 2004.
    Search in Google Scholar
  18. [18] PAN, S. T. : Design of Robust D-Stable IIR Filters using Genetic Algorithms with Embedded Stability Criterion, IEEE Trans. Signal Process. 57 No. 8 (2009), 3008-3016.
    Search in Google Scholar
  19. [19] QUELHAS, M. F.-PETRAGLIA, A. : Digital Filter Design Optimization using Partial Cost Functions, Proc. IEEE Int. Symp. Circuits Syst., Taipei, Taiwan, 2009, pp. 285-288.10.1109/ISCAS.2009.5117741
    Search in Google Scholar
  20. [20] SAAB, S.-LU, W. S.-ANTONIOU, A. : Design and Imple- mentation of Lowpower IIR Digital Filter Systems, Proc. IEEE Int. Symp. Circuits Syst., Orlando, FL3, 1999, pp. 391-394.
    Search in Google Scholar
  21. [21] SANATHANAN, C. K.-KOERNER, J. : Transfer Function Synthesis as a Ratio of Two Complex Polynomials, IEEE Trans. Autom. Control AC-8 No. 1 (1963), 56-58.10.1109/TAC.1963.1105517
    Search in Google Scholar
  22. [22] TSENG, C. C. : Design of Stable IIR Digital Filter based on Least P-Power Error Criterion, IEEE Trans. Circuits Syst. I, Reg. Papers 51 No. 9 (2004), 1879-1888.
    Search in Google Scholar
  23. [23] TSENG, C. C.-LEE, S. L. : Minimax Design of Stable IIR Digital Filter with Prescribed Magnitude and Phase Responses, IEEE Trans. Circuits Syst. I, Fundam. Theory Appl. 49 No. 4 (2002), 547-551.
    Search in Google Scholar
  24. [24] INUKAI, T. : A Unified Approach to Optimal Recursive Digital Filter Design, IEEE Trans. on Circuits and Systems CAS-27 No. 7 (1980), 646-649.10.1109/TCS.1980.1084856
    Search in Google Scholar
  25. [25] CORTELAZZO, G. LIGHTNER, M. R. : Simultaneous Design in Both Magnitude and Group-Delay of IIR and FIR Filters based on Multiple Criterion Optimization, IEEE Trans. on Cir- cuits and Systems 32 No. 5 (1984), 949-967.
    Search in Google Scholar
  26. [26] SULLIVAN, J. L.-ADAMS, J. W. : PCLS IIR Filters with Si- multaneous Frequency Response Magnitude and Phase Related Specifications, Conference Record of the Thirty-First Asilomar; Conference on Signals, Systems and Computers1, Pacific Grove, California, 1997, pp. 705-709.
    Search in Google Scholar
  27. [27] LANG, M. C. : Least-Squares Design IIR Filters with Prescribed Magnitude and Phase Response and a Pole Radius Constraint, IEEE Trans. Signal Processing 48 No. 11 (2000), 3109-3121.10.1109/78.875468
    Search in Google Scholar
  28. [28] LERTNIPHONPHUN, W.-McCLELLAN, J. H. : Unified De- sign Algorithm for Complex FIR and IIR Filters, Proceedings of the IEEE International Conference on Accoustics, Speech and Signal Processing, vol. 6, Salt Lake City, Utah, 2001, pp. 3801-3804.
    Search in Google Scholar
  29. [29] ZHANG, X.-IWAKURA, H. : Design of IIR Digital Allpass Filters based on Eigenvalue Problemjour IEEE Trans. on Acous- tics, Speech, and Signal Processing.
    Search in Google Scholar
  30. [30] LANG, M.-LAAKSO, T. I. : Simple and Robust Method for the Design of Allpass Filters using Least-Squares Phase Error Criterion, IEEE Tarns. on Circuits and Systems II 41 No. 1 (1994), 40-48.
    Search in Google Scholar
  31. [31] IKEHARA, M.-FUNAISHI, M.-KURODA, H. : Design of Complex All-Pass Networks using Remez Algorithm, IEEE Tarns. on Circuits and Systems II 39 No. 8 (1992), 549-556.
    Search in Google Scholar
  32. [32] JING, Z. : A New Method for Digital Allpass Filter Design, IEEE Trans. on.
    Search in Google Scholar
  33. [33] SREERAM, V.-AGATHOKLIS, P. : Design of Linear-Phase IIR Filters via Impulse- Response Gramians, IEEE Trans. on Signal Processing 40 No. 2 (1992), 389-394.10.1109/78.124948
    Search in Google Scholar
  34. [34] PENG, S. C.-CHEN, B. S.-CHIOU, B. W. : Simultaneous Design in Both Magnitude and Group-Delay of IIR and FIR Filters based on Multiple Criterion Optimization, IEE Proceed- ings G 139 No. 5 (1992), 586-590.
    Search in Google Scholar
  35. [35] BELICZYNSKI, B.-KALE, I.-CAIN, G. D. : Approximation of FIR and IIR Digital Filters: an Algorithm based on Balanced Model Reduction, IEEE Trans. on Signal Processing 403 (1992), 532-542.10.1109/78.120796
    Search in Google Scholar
  36. [36] CORETLAZZO. C.-LIGHTNER,M. R. : Simultaneous Design in Both Magnitude and Group-Delay of IIR and FIR Filters Based on Multiple Criterion Optimization, IEEE Transactions on Acoustics, Speech and Signal Processing 5 (1984).
    Search in Google Scholar
  37. [37] LUTOVAA. : Design of Computationally Efficient Elliptic IIR Filters with a Reduced Number of Shift-and-Add Operations in Multipliers, IEEE Transactions on Signal processing 45 No. 10 (1997).10.1109/78.640708
    Search in Google Scholar
  38. [38] SULLIVAN, J. L.-ADAMS, J. W. : PCLS IIR Digital Filters with Simultaneous Frequency Response Magnitude and Group Delay Specifications, IEEE Transactions on Signal Processing 46 No. 11 (1998).10.1109/78.726800
    Search in Google Scholar
  39. [39] LANG: Least-Squares Method for Design of IIR Filters with Prescribed Magnitude and Phase Responses and a Pole Radius Constraint, IEEE Transactions on Signal Processing 48 No. 11 (2000).10.1109/78.875468
    Search in Google Scholar
  40. [40] JOVANOVIC-DOLECEK, G. : Design of IIR Notch Filters with Maximally Flat or Equiripple Magnitude Characteristics, 14th Europeon Signal Processing Conference (EUSIPCO 2006), Florence, Italy, 2006.
    Search in Google Scholar
  41. [41] XI ZHANG: Design of Maximally Flat IIR Filters with Flat Group Delay Responses, Signal Processing 88 (2008), 1792-1800.10.1016/j.sigpro.2008.01.016
    Search in Google Scholar
  42. [42] RECIOUI, A. : Sidelobe Level Reduction in Linear Array Pat- tern Synthesis using Particle Swarm Optimization, J. of Opti- mization Theory and Applications 153 No. 2 (2012), 497-512, DOI 10.1007/s10957-011-9953-9.
    Search in Google Scholar
  43. [43] WANG, X.-MENG, X.-HE, Y. : A Novel Neural Net- works-Based Approach for Designing FIR Filters, The Sixth World Congress on Intelligent Control and Automation, vol. 1, 2006, pp. 4029-4032.
    Search in Google Scholar
  44. [44] WANG, W. P.-ZHOU, L. F.-QIAN, J. X. : Fir Filter Design: Frequency sampling Filters By Particle Swarm Optimization Algorithm, Proc. international conference on machine learning and cybernetics, vol. 4, 2004, pp. 2332-2327.
    Search in Google Scholar
  45. [45] KRUSIENSKI, D. J.-JENKINS, W. K. : Particle Swarm Op- timization for Adaptive IIR Filter Structures, Congress on Evo- lutionary Computation 1 (2004), 965-970.
    Search in Google Scholar
  46. [46] CHEN, H. C.-CHEN, O. T. : Particle Swarm Optimization in- corporating a Preferential Velocity-Updating Mechanism and Its Application in IIR Filter Design, IEEE International Conference on Systems, Man and Cybernetics (2006), 1190-1195.10.1109/ICSMC.2006.384876
    Search in Google Scholar
  47. [47] STORN, R. : Differential Evolution Design of an IIR Filter, Proc. IEEE International Conference on Evolutionar Computa- tion, 2006, pp. 268-273.
    Search in Google Scholar
  48. [48] STORN, R. : Designing Nonstandard Filters with Differen- tial Evolution, Signal Processing Magazine. IEEE 22 (2005), 103-106.10.1109/MSP.2005.1407721
    Search in Google Scholar
  49. [49] KARABOGA, N. : Digital Filter Design using Differential Evo- lution Algorithm, EURASIP Journal of Applied Signal Pro- cesing 8 (2005)), 1269-1276.10.1155/ASP.2005.1269
    Search in Google Scholar
  50. [50] DERVIS KARABOGA: Simple and Global Optimization Al- gorithm for Engineering Problems, DE, Turk. J. Elec. Eng. 12 No. 1 (2004).
    Search in Google Scholar
  51. [51] TANG-KIM-FUNG MAN: Design and Optimization of IIR Filter Structure using Hierarchical Genetic Algorithms, IEEE Transactions on Industrial Electronics 45 No. 3 (1998).10.1109/41.679006
    Search in Google Scholar
  52. [52] NURHAN KARABOGA: Design of Minimum Phase Digital IIR Filters by using Genetic Algorithm, Proceedings of the 6th Nordic Signal Processing Symposium - NORSIG, 2004.
    Search in Google Scholar
  53. [53] ABABNEH, J. I.-BATAINEH, M. H. : Linear Phase FIR Fil- ter Design using Particle Swarm Optimization and Genetic Al- gorithms, Digital Signal Processing (2007), doi: 10.1016/j.dsp.2007.05.011..
    Search in Google Scholar
  54. [54] WEI-CHUNG WENG-FAN YANG-ATEF ELSHERBENI : Electromagnetics and Antenna Optimization using Taguchis Method, Morgan and Claypool Publishers, 2007.
    Search in Google Scholar
  55. [55] WEI-CHUNG WENG et al : Linear Antenna Array Synthe- sis Using Taguchis Method: A Novel Optimization Technique in Electromagnetics, IEEE Transactions on Antennas and Propa- gation 55 No. 3 (Mar 2007). 10.1109/TAP.2007.891548
    Search in Google Scholar
DOI: https://doi.org/10.2478/jee-2014-0003 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632
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Language: English
Page range: 21 - 29
Published on: Feb 14, 2014
Published by: Slovak University of Technology in Bratislava
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year
Keywords:
multiobjective filter design,
Taguchi optimization technique,
magnitude response,
minimum linear phase,
group delay
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2014 Abderrahmane Ouadi, Hamid Bentarzi, Abdelmadjid Recioui, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons License.

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