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Minimized Group Delay FIR Low Pass Filter Design Using Modified Differential Search Algorithm

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Designing a finite impulse response (FIR) filter with minimal group delay has proven to be a difficult task. Many research studies have focused on reducing pass band and stop band ripples in FIR filter design, often overlooking the optimization of group delay. While some works have considered group delay reduction, their approaches were not optimal. Consequently, the achievement of an optimal design for a filter with a low group delay value still remains a challenge. In this work, a modified differential search optimization algorithm has been used for the purpose of designing a minimal group delay FIR filter. The results obtained have been compared with the classical techniques and they turned out to be promising.
Rocznik
Tom
Strony
78--84
Opis fizyczny
Bibliogr. 13 poz., rys., tab.
Twórcy
  • Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India
autor
  • Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India
  • Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India
  • Bundelkhand Institute of Engineering and Technology, Jhansi, India
Bibliografia
  • [1] C. Wu, D. Gao, and K.L. Teo, "A Direct Optimization Method for Low Group Delay FIR Filter Design", Signal Processing, vol. 93, no. 7, pp. 1764-1772, 2013.
  • [2] R.M. Rizk-Allah, A.E. Hassanien, M. Elhoseny, and M. Gunasekaran, "A New Binary Salp Swarm Algorithm: Development and Application for Optimization Tasks", Neural Computing and Applications, vol. 31, no. 5, pp. 1641-1663, 2019.
  • [3] P. Civicioglu, "Transforming Geocentric Cartesian Coordinates to Geodetic Coordinates by Using Differential Search Algorithm", Computers & Geosciences, vol. 46, pp. 229-247, 2012.
  • [4] W. Deng et al., "An Improved Quantum-inspired Differential Evolution Algorithm for Deep Belief Network", IEEE Transactions on Instrumentation and Measurement, vol. 69, no. 10, pp. 7319-7327, 2020.
  • [5] A.K. Dwivedi, S. Ghosh, and N.D. Londhe, "Low Power FIR Filter Design Using Modified Multi-objective Artificial Bee Colony Algorithm", Engineering Applications of Artificial Intelligence, vol. 55, pp. 58-69, 2016.
  • [6] S.K. Saha et al., "Efficient and Accurate Optimal Linear Phase FIR Filter Design Using Opposition-based Harmony Search Algorithm", The Scientific World Journal, art. no. 320489, 2013.
  • [7] A.K. Dwivedi, S. Ghosh, and N.D. Londhe, "Review and Analysis of Evolutionary Optimization-based Techniques for FIR Filter Design", Circuits, Systems, and Signal Processing, vol. 37, no. 10, pp. 4409-4430, 2018.
  • [8] T. Mittal, "Design of Optimal FIR Filters Using Integrated Optimization Technique", Circuits, Systems, and Signal Processing, vol. 40, no. 6, pp. 2895-2925, 2021.
  • [9] S.K. Saha, R. Kar, D. Mandal, and S.P. Ghoshal, "Bacteria Foraging Optimization Algorithm for Optimal FIR Filter Design", International Journal of Bio-Inspired Computation, vol. 5, no. 1, pp. 52-66, 2013.
  • [10] K.S. Reddy and S.K. Sahoo, "An Approach for FIR Filter Coefficient Optimization Using Differential Evolution Algorithm", AEU - International Journal of Electronics and Communications, vol. 69, no. 1, pp. 101-108, 2015.
  • [11] K. Boudjelaba, F. Ros, and D. Chikouche, "Potential of Particle Swarm Optimization and Genetic Algorithms for FIR Filter Design", Circuits, Systems, and Signal Processing, vol. 33, no. 10, pp. 3195-3222, 2014.
  • [12] A. K. Dwivedi, S. Ghosh, and N. D. Londhe, "Modified Artificial Bee Colony Optimization-based FIR Filter Design with Experimental Validation Using Field-programmable Gate Array", IET Signal Processing, vol. 10, no. 8, pp. 955-964, 2016.
  • [13] J. Konopacki, "Design of Sparse FIR Filters with Low Group Delay", International Journal of Electronics and Telecommunications, vol. 67, no.1, pp. 121-126, 2021.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2127e210-4a3b-46cd-9fe3-d2bb481bb81f
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