1. bookVolumen 22 (2022): Edición 4 (November 2022)
Detalles de la revista
License
Formato
Revista
eISSN
1314-4081
Primera edición
13 Mar 2012
Calendario de la edición
4 veces al año
Idiomas
Inglés
Acceso abierto

Optimal High Pass FIR Filter Based on Adaptive Systematic Cuckoo Search Algorithm

Publicado en línea: 10 Nov 2022
Volumen & Edición: Volumen 22 (2022) - Edición 4 (November 2022)
Páginas: 167 - 177
Recibido: 21 Aug 2022
Aceptado: 21 Oct 2022
Detalles de la revista
License
Formato
Revista
eISSN
1314-4081
Primera edición
13 Mar 2012
Calendario de la edición
4 veces al año
Idiomas
Inglés

1. Proakis, J. G., D. K. Manolakis. Digital Signal Processing: Principles, Algorithms and Applications. Pearson, India, 2007. Search in Google Scholar

2. Antoniou, A. Digital Signal Processing. Tata McGraw-Hill, 2006. Search in Google Scholar

3. Gotmare, A., S. S. Bhattacharjee, R. Patidar, N. V. George. Swarm and Evolutionary Computing Algorithms for System Identification and Filter Design: A Comprehensive Review. – Swarm Evol. Comput., Vol. 32, 2017, pp. 68-84. https://doi.org/10.1016/j.swevo.2016.06.00710.1016/j.swevo.2016.06.007 Search in Google Scholar

4. Wang, X. H., Y. L. Jiao, Y. C. Niu, Y. Jie. Optimizing Signal De-Noising Algorithm for Acoustic Emission Leakage of Wavelet. – Cybernetics and Information Technologies, Vol. 16, 2016, No 1, pp. 116-125.10.1515/cait-2016-0009 Search in Google Scholar

5. Miller, T. R., R. J. Hagge, J. W. Wallis, K. S. Sampathkumaran. Interactive Digital Filtering of Gated Cardiac Studies During Cine Display. – IEEE Trans. Med. Imaging, Vol. 7, 1988, pp. 188-192. https://doi.org/10.1109/42.778010.1109/42.778018230467 Search in Google Scholar

6. Shajun Nisha, S., S. P. Raja. Multiscale Transform and Shrinkage Thresholding Techniques for Medical Image Denoising – Performance Evaluation. – Cybernetics and Information Technologies, Vol. 20, 2020, No 3, pp. 130-146.10.2478/cait-2020-0033 Search in Google Scholar

7. Widmark, S. Causal IIR Audio Precompensator Filters Subject to Quadratic Constraints. – IEEE/ACM Trans, Audio Speech Lang. Process., Vol. 26, 2018, pp. 1897-1912. https://doi.org/10.1109/TASLP.2018.283935510.1109/TASLP.2018.2839355 Search in Google Scholar

8. Boudjelaba, K., F. Ros, D. Chikouche. Potential of Particle Swarm Optimization and Genetic Algorithms for FIR Filter Design. – Circuits, Syst. Signal Process, Vol. 33, 2014, pp. 3195-3222. https://doi.org/10.1007/s00034-014-9800-y10.1007/s00034-014-9800-y Search in Google Scholar

9. Kumar, J. T., B. M. S. Rani, M. S. Kumar, M. V. Raju, K. M. Das. Performance Evaluation of Change Detection in SAR Images Based on Hybrid Antlion DWT Fuzzy c-Means Clustering. – Cybernetics and Information Technologies, Vol. 21, 2021, No 2, pp. 45-57.10.2478/cait-2021-0018 Search in Google Scholar

10. Shao, P., Z. Wu, X. Zhou, D. C. Tran. FIR Digital Filter Design Using Improved Particle Swarm Optimization Based on Refraction Principle. – Soft Comput., Vol. 21, 2017, pp. 2631-2642. https://doi.org/10.1007/s00500-015-1963-310.1007/s00500-015-1963-3 Search in Google Scholar

11. Ji, D. The Application of Artificial Bee Colony (ABC) Algorithm in FIR Filter Design. – In: Proc. of 12th IEEE International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD’16). IEEE, 2016, pp. 663-667. DOI: 10.1109/FSKD.2016.7603253. Abierto DOISearch in Google Scholar

12. Ababneh, J. I., M. H. Bataineh. Linear Phase FIR Filter Design Using Particle Swarm Optimization and Genetic Algorithms. – Digit. Signal Process. A Rev. J., Vol. 18, 2008, pp. 657-668. https://doi.org/10.1016/j.dsp.2007.05.01110.1016/j.dsp.2007.05.011 Search in Google Scholar

13. Kennedy, J., R. C. Eberhart. Particle Swarm Optimization. – In: Proc. of IEEE Int. Conf. Neural Networks 1995, Vol. 4, 1995, pp. 1942-1948 Search in Google Scholar

14. Aggarwal, A., T. K. Rawat, D. K. Upadhyay. Design of Optimal Digital FIR Filters Using Evolutionary and Swarm Optimization Techniques AEU. – Int. J. Electron. Commun., Vol. 70, 2016, pp. 373-385. https://doi.org/10.1016/j.aeue.2015.12.01210.1016/j.aeue.2015.12.012 Search in Google Scholar

15. Mandal, S., S. P. Ghoshal, R. Kar, D. Mandal. Design of Optimal Linear Phase FIR High Pass Filter Using Craziness Based Particle Swarm Optimization Technique J. King Saud Univ. – Comput. Inf. Sci., Vol. 24, 2012, pp. 83-92. https://doi.org/10.1016/j.jksuci.2011.10.00710.1016/j.jksuci.2011.10.007 Search in Google Scholar

16. Vasundhara, D. Mandal, R. Kar, S. P. Ghoshal. Digital FIR Filter Design Using Fitness Based Hybrid Adaptive Differential Evolution with Particle Swarm Optimization. – Nat. Comput., Vol. 13, 2014, pp. 55-64. https://doi.org/10.1007/s11047-013-9381-x10.1007/s11047-013-9381-x Search in Google Scholar

17. Thangaraj, R., M. Pant, A. Abraham, P. Bouvry. Particle Swarm Optimization: Hybridization Perspectives and Experimental Illustrations. – Appl. Math. Comput., Vol. 217, 2011, pp. 5208-5226. https://doi.org/10.1016/j.amc.2010.12.05310.1016/j.amc.2010.12.053 Search in Google Scholar

18. Londhe, N. D., A. K. Dwivedi, S. Ghosh. Low Power 2D Finite Impulse Response Filter Design Using Modified Artificial Bee Colony Algorithm with Experimental Validation Using Field-Programmable Gate Array. – IET Sci. Meas. Technol., Vol. 10, 2016, pp. 671-678. https://doi.org/10.1049/iet-smt.2016.006910.1049/iet-smt.2016.0069 Search in Google Scholar

19. Mittal, T. Design of Optimal FIR Filters Using Integrated Optimization Technique. – Circuits, Syst. Signal Process., Vol. 40, 2021, pp. 2895-2925. https://doi.org/10.1007/s00034-020-01602-810.1007/s00034-020-01602-8 Search in Google Scholar

20. Grossmann, L. D., Y. C. Eldar. An L1-Method for the Design of Linear-Phase FIR Digital Filters. – Signal Process. IEEE Trans., Vol. 55, 2007, pp. 5253-5266.10.1109/TSP.2007.896088 Search in Google Scholar

21. Yang, X.-S., S. Deb. Cuckoo Search via Levy Flights. – In: Proc. of 2009 World Congress on Nature Biologically Inspired Computing (NaBIC’09), IEEE, Coimbatore, India, 2009, pp. 210-214.10.1109/NABIC.2009.5393690 Search in Google Scholar

22. Mareli, M., B. Twala. An Adaptive Cuckoo Search Algorithm for Optimisation. – Appl. Comput. Informatics, 2017, pp. 1-9. https://doi.org/10.1016/j.aci.2017.09.00110.1016/j.aci.2017.09.001 Search in Google Scholar

23. Barthelemy, P., J. Bertolotti, D. S. Wiersma. A Lévy Flight for Light. – Nature, Vol. 453, 2008, pp. 495-498. https://doi.org/10.1038/nature0694810.1038/nature0694818497819 Search in Google Scholar

Artículos recomendados de Trend MD

Planifique su conferencia remota con Sciendo