Comparison of LMS-based adaptive audio ?lters for identi?cation

Horváth K, Bank B. Comparison of LMS-based adaptive audio ?lters for identi?cation. In: AES Convention 148. Audio Engineering Society; 2020. Paper 10365. Available from: https://aes.org/publications/elibrary-page/?id=20782

@inproceedings{Horvath2020_20782,
  author = {Horváth, Kristóf and Bank, Balázs},
  title = {{Comparison of LMS-based adaptive audio ?lters for identi?cation}},
  booktitle = {AES Convention 148},
  note = {Paper 10365},
  year = {2020},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=20782}
}

TY  - CPAPER
TI  - Comparison of LMS-based adaptive audio ?lters for identi?cation
AU  - Horváth, Kristóf
AU  - Bank, Balázs
T2  - AES Convention 148
M1  - Paper 10365
PY  - 2020
DA  - 2020/05/06
UR  - https://aes.org/publications/elibrary-page/?id=20782
PB  - Audio Engineering Society
LA  - en
AB  - In the field of audio signal processing, logarithmic frequency resolution IIR filters, such as fixed-pole parallel filters and Kautz filters, are often used. These proven structures can efficiently approximate the frequency resolution of hearing, which is a highly desired property in audio applications. In recursive adaptive filtering however, the FIR structure with LMS algorithm is the most common. Since the linear frequency resolution of FIR filters is not well-suited for audio applications, in this paper we explore the possibility of combining the logarithmic frequency resolution IIR filters with the LMS algorithm. To this end the LMS algorithm is applied to fixed-pole parallel and Kautz filters, and the resulting structures are compared in terms of convergence properties.
ER  -