Signal Processing Techniques for Robust Multichannel Sound Equalisation

Sarris JC, Stefanakis NJ, Cambourakis GE. Signal Processing Techniques for Robust Multichannel Sound Equalisation. In: AES Convention 116. Audio Engineering Society; 2004. Paper 6087. Available from: https://aes.org/publications/elibrary-page/?id=12632

@inproceedings{Sarris2004_12632,
  author = {Sarris, John C. and Stefanakis, Nick J. and Cambourakis, George E.},
  title = {{Signal Processing Techniques for Robust Multichannel Sound Equalisation}},
  booktitle = {AES Convention 116},
  note = {Paper 6087},
  year = {2004},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=12632}
}

TY  - CPAPER
TI  - Signal Processing Techniques for Robust Multichannel Sound Equalisation
AU  - Sarris, John C.
AU  - Stefanakis, Nick J.
AU  - Cambourakis, George E.
T2  - AES Convention 116
M1  - Paper 6087
PY  - 2004
DA  - 2004/05/06
UR  - https://aes.org/publications/elibrary-page/?id=12632
PB  - Audio Engineering Society
LA  - en
AB  - Multichannel equalisation is generally accomplished by designing inverse filters to remove the distortion associated with the transmission paths between a set of sources and receivers. The filters are estimated by minimising a cost function based on the least squares error criterion. However, under certain conditions this least squares error based formulation fails to provide a solution or provides a solution that lacks robustness. These conditions are investigated and modifications are introduced in the definition of the cost function so that the problem has always a solution with increased robustness. Moreover, the multiple error LMS algorithm is employed to adapt the filter coefficients to their optimum values, issues like convergence speed and stability are discussed and simulation results are presented.
ER  -