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

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Jyoti Kaurav
Ravindra Pratap Narwaria

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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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
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