Simulation and Comparative Analysis of LMS and RLS Algorithms Using Real Time Speech Input Signal

Prof. Komal R; Dr. G.R.Kulkarni

Simulation and Comparative Analysis of LMS and RLS Algorithms Using Real Time Speech Input Signal

Prof. Komal R * §

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Dr. G.R.Kulkarni §

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§ Kadi Sarva Vishwavidyalaya

Simulation and Comparative Analysis of LMS and RLS Algorithms Using Real Time Speech Input Signal

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Abstract

In practical application, the statistical characteristics of signal and noise are usually unknown or can’t have been learned so that we hardly design fix coefficient digital filter. In allusion to this problem, the theory of the adaptive filter and adaptive noise cancellation are researched deeply. According to the Least Mean Squares (LMS) and the Recursive Least Squares (RLS) algorithms realize the design and simulation of adaptive algorithms in noise canceling, and compare and analyze the result then prove the advantage and disadvantage of two algorithms .The adaptive filter with MATLAB are simulated and the results prove its performance is better than the use of a fixed filter designed by conventional methods.

References

7 Cites in Article

Reference Format

1. E Eleftheriou,D Falconer (1986). Tracking properties and steady-state performance of RLS adaptive filter algorithms. IEEE Transactions on Acoustics, Speech, and Signal Processing, 34(5), 1097-1110.
2. S Haykin (1991). Adaptive Filter Theory. Adaptive Filter Theory
3. S Haykin,A Sayed,J Zeidler,P Yee,P Wei (1997). Adaptive tracking of linear time-variant systems by extended RLS algorithms. IEEE Transactions on Signal Processing, 45(5), 1118-1128.
4. S Kuo,D Morgan (1999). Active Noise Control: a tutorial review. Proceedings of the IEEE, 87
5. J Allen (1994). How do humans process and recognize speech?. IEEE Transactions on Speech and Audio Processing, 2(4)
6. W Harrison,J Lim,E Singer (1986). A new application of adaptive noise cancellation. IEEE Trans. Acoustic Speech Signal Processing, 34, 21-27.
7. S Sugiyama (1999). An adaptive noise canceller with low signal distortion for speech codes‖. IEEE Trans. Signal Processing, 47, 665-674.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

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Not applicable for this article.

How to Cite This Article

Prof. Komal R, Dr. G.R.Kulkarni. 1970. "Simulation and Comparative Analysis of LMS and RLS Algorithms Using Real Time Speech Input Signal". Global Journal of Research in Engineering GJRE Volume 10 (GJRE Volume 10 Issue 5).

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GJRE Volume 10 Issue 5

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

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Submission ReceivedFebruary 6, 2010
Peer Review Double Blind
Handling Editor
Accepted March 1, 2010
Published October 11, 2010

Version of record

v1.2

Issue date

October 11, 2010

Language

English

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Article Matrices

Total Score: 107

Country: India

Subject: Global Journal of Research in Engineering

Authors: Prof. Komal R. Borisagar , Dr. G.R.Kulkarni (PhD/Dr. count: 1)

View Count (all-time): 291

Total Views (Real + Logic): 6385

Total Downloads (simulated): 360

Publish Date: 2010 03, Mon

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Total Views: 6.4K

Total Downloads: 360

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