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International Conference on Contemporary Computing

IC3 2011: Contemporary Computing pp 51–56Cite as

An Optimal Design of FIR Digital Filter Using Genetic Algorithm

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 168))

Abstract

The Paper presents a simple computer-aided design approach for designing Finite Impulse Response (FIR) digital filters. FIR filter is essentially a digital filter with non Recursive responses. Since the error surface of digital FIR filters is generally nonlinear and multimodal, global optimization techniques are required in order to avoid local minima. There are many ways for the design of FIR Digital filters. This Paper Presents soft computing technique for the design of FIR filters. In this Paper, Genetic Algorithm (GA) base evolutionary method is proposed for design of FIR digital filter. GA is a well-known powerful global optimization algorithm introduced in combinatorial optimizations problems. The Simulation result for the employed example is presented in this paper and can be efficiently used for FIR digital filter design.

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Author information

Authors and Affiliations

  1. Electronics & Communication Engg., JMIT Radaur, Yamunanagar, Haryana, India

    Ranjit Singh Chauhan

  2. Electronics & Communication Engg., GJU, Hisar, Haryana, India

    Sandeep K. Arya

Authors
  1. Ranjit Singh Chauhan
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  2. Sandeep K. Arya
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Editor information

Editors and Affiliations

  1. Iowa State University and IIT Bombay, India, 329 Durham, Ames, IA 5001, Iowa, USA

    Srinivas Aluru

  2. Indian Statistical Institute, 203 B.T. Road, 700 108, Kolkata, West Bengal, India

    Sanghamitra Bandyopadhyay

  3. The Ohio State University, 3190 Graves Hall, 333 W 10th Ave, 43210, Columbus, OH, USA

    Umit V. Catalyurek

  4. Department of Computing Science, Chalmers University, Rännvagen 6B, 412 96, Göteborg, Sweden

    Devdatt P. Dubhashi

  5. Dept. of Electrical and Computer Engineering, Iowa State University, 329 Durham, IA 50011, Ames, USA

    Phillip H. Jones

  6. TASSL, Dept. of Electrical & Computer Engineering, Rutgers, The State University of New Jersey, Brett Road, NJ 08854-8058, Piscataway, USA

    Manish Parashar

  7. School of Computer Engineering, Nanyang Technological University, N4-02a-32 Nanyang Ave, 639798, Singapore

    Bertil Schmidt

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© 2011 Springer-Verlag Berlin Heidelberg

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Cite this paper

Chauhan, R.S., Arya, S.K. (2011). An Optimal Design of FIR Digital Filter Using Genetic Algorithm. In: Aluru, S., et al. Contemporary Computing. IC3 2011. Communications in Computer and Information Science, vol 168. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22606-9_9

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  • DOI: https://doi.org/10.1007/978-3-642-22606-9_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22605-2

  • Online ISBN: 978-3-642-22606-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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