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Link to original content: https://doi.org/10.1007/978-981-32-9291-8_37
Design of Finite Impulse Response Filter with Controlled Ripple Using Cuckoo Search Algorithm | SpringerLink
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Design of Finite Impulse Response Filter with Controlled Ripple Using Cuckoo Search Algorithm

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Proceedings of 3rd International Conference on Computer Vision and Image Processing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1024))

Abstract

In this paper, an efficient design of finite impulse response (FIR) filter is presented with improved fitness function using cuckoo search algorithm (CSA). CSA is recently proposed evolutionary technique (ET), which has efficient ability of exploration and therefore used in FIR filter design. The fitness function is constructed in the frequency domain as a mean squared error (MSE) between the designed and desired response. In this fitness function, tolerable limits for magnitude response in passband and stopband region have been embedded, which helps in gaining the controlled ripple in irrespective bands. The designed filters are realized on general-purpose microcontroller using Arduino platform and filter performance is tested using fidelity parameters, which are; passband error (Erpb), stopband error (Ersb), and minimum stopband attenuation (As). The exhaustive experimental analysis confirms that proposed methodology is statically stable and obtains improved fidelity parameters when compared with previous state of the art.

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Acknowledgements

This work is supported in part by the Department of Science and Technology, Govt. of India under Grant No. SB/S3IEECE/0249/2016.

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Authors and Affiliations

  1. PDPM Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, Madhya Pradesh, 482005, India

    Anil Kumar, N. Agrawal & I. Sharma

Authors
  1. Anil Kumar
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  2. N. Agrawal
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  3. I. Sharma
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Corresponding author

Correspondence to Anil Kumar .

Editor information

Editors and Affiliations

  1. Techno India University, Kolkata, India

    Bidyut B. Chaudhuri

  2. Division of Advanced Information Technology and Computer Science, Tokyo University of Agriculture and Technology, Koganei-shi, Tokyo, Japan

    Masaki Nakagawa

  3. Department of Computer Science, Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, Madhya Pradesh, India

    Pritee Khanna

  4. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Sanjeev Kumar

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Kumar, A., Agrawal, N., Sharma, I. (2020). Design of Finite Impulse Response Filter with Controlled Ripple Using Cuckoo Search Algorithm. In: Chaudhuri, B., Nakagawa, M., Khanna, P., Kumar, S. (eds) Proceedings of 3rd International Conference on Computer Vision and Image Processing. Advances in Intelligent Systems and Computing, vol 1024. Springer, Singapore. https://doi.org/10.1007/978-981-32-9291-8_37

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  • DOI: https://doi.org/10.1007/978-981-32-9291-8_37

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-32-9290-1

  • Online ISBN: 978-981-32-9291-8

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