MRI
MRI India Journals Vol. 2 No. 4 (2017): Volume 2 Issue 4

DE-NOISING OF AUDIO SIGNAL USING DISTRIBUTED APPROXIMATE MESSAGE PASSING (DAMP) ALGORITHM

Authors

  • Jyoti Kaurav
  • Ravindra Pratap Narwaria

DOI:

https://doi.org/10.65521/oaijse.v2i4.2302

Keywords:

Adaptive Filter Adaptive Noise Canceller ECG Audio Signal PSO MPSO DAMP LDI NLI SNR MSE PRE

Abstract

The modern world makes the heavy use of multimedia. This field factually uses the Digital Signal processing of
sound. Adaptive filtering constitutes one of the core technologies in DSP and has various applications in science and industry
including echo cancellation, adaptive equalization, adaptive noise cancellation, audio denoising, etc. In any communication
system, noise always plays a major area of concern. Various de-noising techniques are used for removing these noises. In the
proposed research work, we have implemented Adaptive Noise Canceller on audio signal followed by the application of
modified PSO. The optimization is achieved by the application of DAMP algorithm which uses the weight control factor. The
results achieved have faster convergence but at the cost of complexity

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Published

2026-04-17

How to Cite

Kaurav, J., & Narwaria, R. P. (2026). DE-NOISING OF AUDIO SIGNAL USING DISTRIBUTED APPROXIMATE MESSAGE PASSING (DAMP) ALGORITHM. Open Access International Journal of Science and Engineering , 2(4), 1–7. https://doi.org/10.65521/oaijse.v2i4.2302