Abstract
The development of a software system for computer aided digital filter design using bilinear transformation is presented. Starting from first principles, patterns in the manual determination of filter coefficients are studied and converted to arithmetic/logical computational procedures or operations which are coded into computer subprograms. These subprograms are packaged as a software system which is user friendly, and which can be regarded as a filter coefficients’ calculator. The software system is subjected to rigorous tests and is found to be accurate. The software system also plots pole-zero diagram and the frequency response. Mathematics coupled with the Arithmetic/Logical computational capabilities of the computer have been used to assist digital filter design in Electrical and Electronic Engineering.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Oppenheim, V.A.: Discrete Time Signal Processing. Prentice-Hall, Englewood Cliffs (1999)
Antoniou, A.: Digital Signal Processing: Signals, Systems and Filters. McGraw Hill, New York (2006)
Orfanidis, S.J.: Introduction to Signal Processing. Prentice Hall, Rutgers (2010)
Zubair, A.R., Olawale, A.J.: Active learning strategy: computer aided numerical class project on pole-zero plot and transfer function of five low pass filter approximation functions. Global J. Eng. Technol. Adv. 12(1), 038–063 (2022)
Thede, L.: Practical Analog and Digital Filter Design. Artech House, Inc., Ohio (2004)
Rice, J.R., Usow, K.H.: The Lawson algorithm and extensions. Math. Comput. 22, 118–127 (1968)
Smith, S.W.: The Scientist and Engineer’s guide to Digital Signal Processing. California Technical Publishing, California (1999)
Ingle, V.K., Proakis, J.G.: Digital Signal Processing Using MATLAB, 3rd edn. Global Engineering, Stamford (2010)
Rader, B.G.: Digital Processing of Signals. McGrawHill, New York (1969)
Abramowitz, M., Stegun, I.A. (eds.): Handbook of Mathematical Functions with Formulas. Dover Publications, New York (1965)
Ferdous, H., Jahan, S., Tabassum, F., Islam, M.: The performance analysis of digital filters and ANN in de-noising of speech and biomedical signal. Int. J. Image Graph. Signal Process. 15(1), 63–78 (2023)
Adamu, Z.M., Dada, E.G., Joseph, S.B.: Moth flame optimization algorithm for optimal FIR filter design. Int. J. Intell. Syst. Appl. 13(5), 24–34 (2021)
Kaur, R., Patterh, M.S., Dhillon, J.S.: Digital IIR filter design using real coded genetic algorithm. Int. J. Inf. Technol. Comput. Sci. 07(7), 27–35 (2013)
Jain, M., Gupta, M.: Design of fractional order recursive digital differintegrators using different approximation techniques. Int. J. Intell. Syst. Appl. 12(1), 33–42 (2020)
Hea, L., Zhonga, X., Qua, D., Fana, Z., Shib, K.: Design on open-loop bandpass filter with multiple harmonics suppression. Int. J. Wirel. Microw. Technol. 8(5), 27–36 (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Zubair, A.R., Olawale, A.J. (2023). Development of Arithmetic/Logical Computational Procedures: Computer Aided Digital Filter Design with Bilinear Transformation. In: Hu, Z., Dychka, I., He, M. (eds) Advances in Computer Science for Engineering and Education VI. ICCSEEA 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 181. Springer, Cham. https://doi.org/10.1007/978-3-031-36118-0_31
Download citation
DOI: https://doi.org/10.1007/978-3-031-36118-0_31
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-36117-3
Online ISBN: 978-3-031-36118-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)