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NLMS-LOESS Algorithm for Adaptive Noise Cancelation

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Microelectronics, Electromagnetics and Telecommunications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 521))

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Abstract

This paper presents adaptive Noise Cancelation (ANC) by Normalized Least Mean Square (NLMS) algorithm and also showcases its efficiency over other algorithms like Recursive Least Square (RLS) algorithm and the Least Mean Squares (LMS). In this paper, we have improved and also optimized the step size value (µ) which determines the convergence in the mean. Improper value can cause sharp changes in variance which will be misleading and is one of the major problems of least mean squares algorithm. The aim of this paper is to highlight and statistically compare the algorithms and also demonstrate the effectiveness of normalized least mean square algorithms with various additive noises.

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Author information

Authors and Affiliations

  1. School of Electronics Engineering, VIT University, Vellore, 632014, India

    Ritam Sil, K. P. Bharath, R. Karthik & M. Rajesh Kumar

Authors
  1. Ritam Sil
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  2. K. P. Bharath
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  3. R. Karthik
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  4. M. Rajesh Kumar
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Corresponding author

Correspondence to M. Rajesh Kumar .

Editor information

Editors and Affiliations

  1. School of Electrical Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar, Odisha, India

    Ganapati Panda

  2. School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  3. Electronics and Communication Engineering, Gayatri Vidya Parishad College of Engineering (Autonomous), Visakhapatnam, Andhra Pradesh, India

    Birendra Biswal

  4. Electronics and Communication Engineering, University of Pretoria, Pretoria, South Africa

    Ramesh Bansal

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© 2019 Springer Nature Singapore Pte Ltd.

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Sil, R., Bharath, K.P., Karthik, R., Rajesh Kumar, M. (2019). NLMS-LOESS Algorithm for Adaptive Noise Cancelation. In: Panda, G., Satapathy, S., Biswal, B., Bansal, R. (eds) Microelectronics, Electromagnetics and Telecommunications. Lecture Notes in Electrical Engineering, vol 521. Springer, Singapore. https://doi.org/10.1007/978-981-13-1906-8_7

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  • DOI: https://doi.org/10.1007/978-981-13-1906-8_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1905-1

  • Online ISBN: 978-981-13-1906-8

  • eBook Packages: EngineeringEngineering (R0)

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