ALGORITHM FOR ORDERING CASCADES OF NONRECURSIVE DIGITAL FILTERS BASED ON A GENETIC ALGORITHM
DOI:
https://doi.org/10.30888/2663-5712.2023-19-01-036Keywords:
ordering of FIR filter cascades, sequential form of FIR filter implementation, design of FIR filters, genetic algorithmAbstract
The paper proposes an algorithm for ordering FIR filter cascades based on a genetic algorithm to minimize the error arising from the quantization of multiplication results. Choosing the optimal order of arrangement of cascades is a difficult problem, as iMetrics
References
Gazi O. Understanding Digital Signal Processing. Singapore : Springer Singapore, 2018. DOI: 10.1007/978-981-10-4962-0.
D. G. Manolakis, J. G. Proakis. Digital signal processing. New International Edition. Pearson Higher Ed, 2013.
L. R. Rabiner, B. Gold. Theory and application of digital signal processing. Prentice-Hall, Englewood Cliffs, N.J, 1975.
Ruslan Petrosian, Oleksandr Kuzmenko, Arsen Petrosian. Method for calculating the FIR filter based on genetic algorithm. Computer Systems and Information Technologies. 2021. Vol. 1. P. 19–24. URL: https://csitjournal.khmnu.edu.ua/index.php/csit/article/view/45/33.
Thakare V. V., SahuR K .A. Genetic Algorithm for Optimizationof MSE & Ripples in Linear Phase Low Pass FIR Filter & Also Compare with Cosine Window Techniques. International Journals Digital Communication and Analog Signals. 2015. Vol 1, No. 1. P. 9–15. DOI: 10.37628/jdcas.v1i1.42.
Optimal design of digital FIR filters based on back propagation neural network / Yang J. et al. IEICE Electronics Express. 2023. Vol. 20, No 1. P. 20220491-20220491. DOI: 10.1587/elex.19.20220491.
Petrosian R., Chukhov V., Petrosian A. Development of a method for synthesis the FIR filters with a cascade structure based on genetic algorithm. Technology audit and production reserves. 2021. Vol. 4, No. 2(60). P. 6–11. DOI: 10.15587/2706-5448.2021.237271.
Mutingi M., Mbohwa C. Grouping genetic algorithms: Advances and Applications. Switzerland: Springer International Publishing. 2017. 243 p.
Runwei Cheng J., Gen M. Parallel Genetic Algorithms with GPU Computing. Industry 4.0 - Impact on Intelligent Logistics and Manufacturing. 2020. DOI: 10.5772/intechopen.89152.
Kaur S., Singh B., Singh M. Different Design Approaches for the Optimization of FIR Filter Coefficients. Research Cell: An International Journal Of Engineering Sciences. 2016. Vol. 17. P. 229-236. URL: http://ijoes.vidyapublications.com/paper/Vol17/32-Vol17.pdf.
Petrosian R. V. Vporiadkovuvannia kaskadiv tsyfrovykh filtriv pry kaskadnii realizatsii. Visnyk ZhDTU. Seriia "Tekhnichni nauky". 2008. №2(45). S. 90–92. URL: http://vtn.ztu.edu.ua/article/view/81607/79196.
da Luz A. G., da Costa E. A. C., de Aguiar M. S. Ordering and partitioning of coefficients based on heuristic algorithms for low power FIR filter realization. Proceedings of the 23rd symposium on Integrated circuits and system design. 2010. P. 180-185. DOI: 10.1145/1854153.1854198.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Authors
This work is licensed under a Creative Commons Attribution 4.0 International License.
