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CSOC2018 2018: Software Engineering and Algorithms in Intelligent Systems pp 37–45Cite as

Noise Detection and Elimination by Using Analytical Approach

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 763))

Abstract

The existence of noise periodically decreases the total contains required to transmit over the GSM channel. Also, due to increased challenges in the upcoming communication system for noise cancellations in the voice as well as in data transmitted. The existing filters were not able to perform the effective noise cancellation, thus this paper introduces analytical approach to detect both the GSM transient signals of superior or inferior form and then to cancel its noise level. The proposed approach considers the probability theory to perform the modeling of the system and allocate the power of the transitive device along with noise level. The result analysis of the proposed system gives that it offers the detection of the different noise forms and also can significantly determines the both the superior as well as inferior signal quality. These outcomes suggest that the design of accurate filter can be efficient for noise cancellation in GSM signal.

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Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, K.S. Institute of Technology, Bangalore, India

    N. Rekha

  2. Islamiah Institute of Technology, Bangalore, India

    Fathima Jabeen

Authors
  1. N. Rekha
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  2. Fathima Jabeen
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Corresponding author

Correspondence to N. Rekha .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

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Rekha, N., Jabeen, F. (2019). Noise Detection and Elimination by Using Analytical Approach. In: Silhavy, R. (eds) Software Engineering and Algorithms in Intelligent Systems. CSOC2018 2018. Advances in Intelligent Systems and Computing, vol 763. Springer, Cham. https://doi.org/10.1007/978-3-319-91186-1_5

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