Impulsive Noise Detection & Reduction using Adaptive Processing

Kalliris G, Papaikolaou G, Bahtsetzis S. Impulsive Noise Detection & Reduction using Adaptive Processing. In: AES Convention 96. Audio Engineering Society; 1994. Paper 3870. Available from: https://aes.org/publications/elibrary-page/?id=6362

@inproceedings{Kalliris1994_6362,
  author = {Kalliris, George and Papaikolaou, George and Bahtsetzis, Stavros},
  title = {{Impulsive Noise Detection \& Reduction using Adaptive Processing}},
  booktitle = {AES Convention 96},
  note = {Paper 3870},
  year = {1994},
  month = feb,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=6362}
}

TY  - CPAPER
TI  - Impulsive Noise Detection & Reduction using Adaptive Processing
AU  - Kalliris, George
AU  - Papaikolaou, George
AU  - Bahtsetzis, Stavros
T2  - AES Convention 96
M1  - Paper 3870
PY  - 1994
DA  - 1994/02/06
UR  - https://aes.org/publications/elibrary-page/?id=6362
PB  - Audio Engineering Society
LA  - en
AB  - This paper describes new concepts on adaptive, impulsive noise detection & reduction algorithms using the well known autoregressive signal modeling theory and LMS based adaptive techniques. The concept of simultaneous detection and elimination of impulsive noises in the same process is first examined, resulting in simple but computationally expensive LPC based algorithm. In order to reduce computational cost, the separation of the detection and elimination processes, is then investigated yielding on a novel modified LMS algorithm which identifies the positions of the impulsive noises with much better performance over simple LMS. The elimination of the impulse by using various techniques is then described. The proposed technques are examined in various real - life audio recordings.
ER  -