CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Determine Optimal Coefficients of IIR Digital Filters using Simulated Annealing

by Ranjit Singh Chauhan, Sandeep Kumar Arya
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 43 - Number 10
Year of Publication: 2012
Authors: Ranjit Singh Chauhan, Sandeep Kumar Arya
10.5120/6143-8389

Ranjit Singh Chauhan, Sandeep Kumar Arya . Determine Optimal Coefficients of IIR Digital Filters using Simulated Annealing. International Journal of Computer Applications. 43, 10 ( April 2012), 36-40. DOI=10.5120/6143-8389

@article{ 10.5120/6143-8389,
author = { Ranjit Singh Chauhan, Sandeep Kumar Arya },
title = { Determine Optimal Coefficients of IIR Digital Filters using Simulated Annealing },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 43 },
number = { 10 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 36-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume43/number10/6143-8389/ },
doi = { 10.5120/6143-8389 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:33:05.657858+05:30
%A Ranjit Singh Chauhan
%A Sandeep Kumar Arya
%T Determine Optimal Coefficients of IIR Digital Filters using Simulated Annealing
%J International Journal of Computer Applications
%@ 0975-8887
%V 43
%N 10
%P 36-40
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper determines coefficients of infinite-impulse response (IIR) using Simulated Annealing (SA). IIR filter is essentially a digital filter with Recursive responses. Since the error surface of digital IIR filters is generally nonlinear and multimodal, global optimization techniques are required in order to avoid local minima. In this paper heuristic way for the designing IIR filters is presented. SA is a powerful global optimization algorithm introduced in combinatorial optimization problems. The paper finds the optimum Coefficients of IIR digital filter through SA. It is found that the calculated values are more optimal than fda tool availble for the design of filter in MATLAB. Design of Lowpass and High pass IIR digital filter is proposed to provide estimate of transition band. The simulation results of the employed examples shows an improvement on transition band. It is also observed that mean-square-error of designed is least as compared to fda technique. The position of the Pole-Zero describes the stability of designed filters.

References
  1. Proakis, J. G. and Manolakis, D. G. 2007. Digital Signal Processing: Principles, Algorithms, and Applications. Pearson Education Ltd.
  2. Skaf, Joelle. and Stephen, P. Boyd. 2008. Filter Design with Low Complexity Coefficients. IEEE Transactions on Signal processing. 56(July 2008), 3162-3170.
  3. Vaccaro, Richard J. and Harrison, Brian F. 1996. Optimal Matrix-Filter Design. IEEE Transactions on Signal processing. 44(March 1996), 705-710.
  4. Zhang, Xi. and Iwakura, Hiroshi. 1996. Design of IIR Digital Filters based on Eigen value Problem. IEEE Transactions on Signal processing. 44(June 1996), 1325-1319.
  5. Argenti, Fabrizio. and Enrico, Del Re. 1998. Design of IIR Eigen filters in the Frequency domain. IEEE Transactions on Signal processing. 46(June 1998), 1694-1700.
  6. Yao, Xin. , Liu, Yong. and Lin, Guangming. 1999. Evolutionary Programming Made Faster. IEEE Transaction on Evolutionary Computation. 3(July 1999), pp. 83-102.
  7. Chauhan, R. S. and Kamboj, A. 2007. MATLAB based Design of Digital FIR filter using window technique. In Proceeding of IEEE Conf. on Art. Int. Systems.
  8. Kacelenga, R. V. , Graumann, P. V. , and Turner, L. E. 1990. Design of filters using simulated annealing. In IEEE Proc. Int. Symp. on Circuits and Systems.
  9. Benvenuto, N. and Marchesi, M. 1992. Applications of simulated annealing for the design of digital filters. IEEE Transaction Signal Processing. 40(Feb. 1992), 323-331.
  10. Abdesselam, K. D. 2000. Design of Stable, causal, perfect reconstruction, IIR Uniform DFT Filters. IEEE Transactions on Signal processing. 48(April 2000), 1110-1117.
  11. Tseng, C. C. and Pei, S. C. 2001. Stable IIR Notch Filter design with optimal pole placement. IEEE Transactions on Signal processing. 49(Nov. 2001), 2673-2681.
  12. Cousseau, J. E. , Werner, Stefan. and Donate, P. D. 2007. Factorized All-Pass Based IIR Adaptive Notch Filters. IEEE Transaction on Signal Processing. 55(2007), 5225-5236, 2007.
  13. Oliveira, H. A. , Petraglia, Antonio. and Petraglia, M. R. 2007. Frequency Domain FIR Filter Design Using Fuzzy Adaptive Simulated Annealing. In IEEE International Symposium on Signal Processing and Information Technology.
  14. Jung, B. W. , Yang, H. J. and Chun, J. 2008. Finite Word length Digital Filter Design Using Simulated Annealing. IEEE Transaction Signal Processing, 1(2008), 546-550.
  15. Chauhan, R. S. and Arya, Sandeep K. 2010. Design of IIR digital filter using analog to digital mapping. Journal of Neural Computing Systems. 3(Jan. 2010), 51-55.
  16. Yang, Qi. Ji. 2010. Application of Improved Simulated Annealing Algorithm in Facility Layout Design. In Proceedings of the 29th Chinese Control Conference.
  17. Smith, Kevin I. , Everson, Richard M. , Fieldsend, Jonathan E. , Chris, Murphy. and Misra, Rashmi. 2008. Dominance-Based Multiobjective Simulated Annealing. IEEE Transaction on Evolutionary Computation. 12(June 2008), 323-343.
  18. Ahn, Soyeon. , Heedeok, Lee. and Byungwook, Jung. 2011. Medium PRF set selection for pulsed Doppler radars using simulated annealing. IEEE. 1(2011), 90-95.
  19. Chaohua, Dai. , Chen, Weirong. and Zhu, Yunfang. 2010. Seeker Optimization Algorithm for Digital IIR Filter Design. IEEE Transaction on Evolutionary Computation. 57(May 2010), 1710-1718.
Index Terms

Computer Science
Information Sciences

Keywords

Digital Filters Iir Optimization Sa

Powered by PhDFocusTM