Vol. 3 (06) pp. 530-534

Variable Step-size least mean squares adaptive filters

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  • Dept. of PG Studies and Research in Applied Electronics, Janana Ganga,Gulbarga University,Kalaburgi.
  • Dept. of PG Studies and Research in Applied Electronics Jnana Ganga.
  • Dept. of PG Studies and Research in Applied Electronics Jnana Ganga Gulbarga University, Kalaburgi, Karnataka,India.
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Abstract

In this article introduces a new method to improve the performance of Least Mean Square algorithm (LMS); LMS algorithm is studied by choosing proper variable step size. The Least Mean Square works on the principal of Variable step size which generates error and step size. The part of the data is return back to the input to suppress the noise adaptively. The VSSLMS simulations result shows that its rate of speed and Mean Square Error (MSE) are better compared to other algorithms.

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How to Cite This Article

AJJAIAH H.B.M, PRABHAKAR V.HUNAGUND, VANI R.M. (2015); Variable Step-size least mean squares adaptive filters, Int. J. of Adv. Res., 3 (06), 530-534, ISSN 2320-5407.

Corresponding Author

AJJAIAH H.B.M

Creative Commons Attribution 4.0 This work is licensed under a Creative Commons Attribution 4.0 International License.