Performance analysis of beamforming algorithm for noise cancellation

  title={Performance analysis of beamforming algorithm for noise cancellation},
  author={M. Z. alom and I. Khan and M Alam and M. Sultana Nasrin},
  journal={2007 10th international conference on computer and information technology},
This paper presents performance analysis of beamforming algorithm for canceling multiple channel noise depending on variation of hidden layer of the multilayer feedforward network and the number of epoch (also known as number of iteration)[1]. A multi-layer perception (MLP) has been considered to perform beamforming. A beamforming is an array of sensors connected to the MLP inputs. We have also used the backpropagation algorithm as learning rule for MLP and improving our signal quality. This… CONTINUE READING


Publications citing this paper.
Showing 1-2 of 2 extracted citations


Publications referenced by this paper.
Showing 1-8 of 8 references

An output-watching approach to adaptive noise cancellation

  • Graupe, A J Efron
  • IEEE Transactions on Circuits and Systems,
  • 1991

Neural Networks

  • J. A. Freeman, D. M. Skapura
  • Addison- Wesley Longman Inc, California, pp. 89…
  • 1991
2 Excerpts

Improved LMS algorithm for adaptive beamforming

  • L. C. Godara
  • IEEE Trans. Antenna Propagate,
  • 1990
1 Excerpt

Threshold Logic in Artificial Intelligence

  • R. O. Winder
  • IEEE Publication,
  • 1964

Similar Papers

Loading similar papers…