Abstract
Noise-free output is a desired characteristic of any mobile communication system. Adaptive noise cancellation is achieved by subtracting unwanted noise signal from the corrupted signal. We propose signal extraction using artificial neural network hybrid back propagation adaptive for mobile systems. The performance analysis of the proposed hybrid adaptive algorithms is carried out based on the error convergence and correlation coefficient. By taking into consideration of the existing algorithms, the proposed algorithms require small neural training sets and it gives good results. Noise cancellation operation is established through adaptive control with the goal of achieving minimum noise error level at output. This paper focuses on the analysis of noise cancellation using least mean square algorithms, gradient adaptive lattice algorithms, and hybrid adaptive algorithms. From computed output, we observed that the hybrid adaptive algorithms perform better.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bernard Widrow., John R Glover., John M McCool., John Kaunitz., Charles S Williams., Robert H Hearn., James R Zeidler., Eugene Dong Jr and Robert C Goodlin.: Adaptive Noise Cancelling Principles and Applications. Proceedings of IEEE Spectrum, vol. 63, issue 12, pp. 1692–1716, (1975).
Shubhra Dixit and Deepak Nagaria.: Neural Network Implementation of Least Mean Square Adaptive Noise Cancellation. International Conference on Issues and Challenges in Intelligent Computing Techniques, vol. 1, pp. 134–139, (2014).
V Ashok., T Balakumaran., A Nirmalkumar, P Ravikumar.: Spatially Resolved Laser Doppler Based Diffused Beam Reflectance Measurement of Blood Glucose Diagnosis in Real Time by Noninvasive Technique. International Conference on Computing, Communication and Network Technologies, vol. 1, pp. 1–8, (2010).
Syed A Hadei and M Lotfizad.: A Family of Adaptive Filter Algorithms in Noise Cancellation for Speech Enhancement. International Journal of Computer and Electrical Engineering, vol. 2 (2), pp. 307–315, (2010).
V R Vijay Kumar., P T Vanathi and P Kanaga Sapabathi.: Modified Adaptive Filtering Algorithms for Noise Cancellation in Speech Signals. Electronics and Electrical Engineering, Kanus Technologija, vol. 2 (74), pp. 17–20, (2007).
Lilatul Ferdouse., Nasrin Akhter., Tamanna Haque Nipa and Fariha Tasmin Jaigirdar.: Simulation and Performance Analysis of Adaptive Filtering Algorithms in Noise Cancellation. International Journal of Computer Science Issues, vol. 8, issue 1, pp. 185–192, (2011).
Vartika Anand., Shalini Shah and Sunil Kumar.: Intelligent Adaptive Filtering for Noise Cancellation. International Journal of Advanced Research in Electrical, Electronics & Instrumentation Engineering, vol. 2, issue 5, pp. 2029–2039, (2013).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Prasanna Kumar, A.M., Ramesha, K. (2018). Adaptive Filter Algorithms Based Noise Cancellation Using Neural Network in Mobile Applications. In: Dash, S., Das, S., Panigrahi, B. (eds) International Conference on Intelligent Computing and Applications. Advances in Intelligent Systems and Computing, vol 632. Springer, Singapore. https://doi.org/10.1007/978-981-10-5520-1_8
Download citation
DOI: https://doi.org/10.1007/978-981-10-5520-1_8
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-5519-5
Online ISBN: 978-981-10-5520-1
eBook Packages: EngineeringEngineering (R0)