Adaptive Filters in Wavelet Transform Domain

Bajic V. Adaptive Filters in Wavelet Transform Domain. In: AES Convention 120. Audio Engineering Society; 2006. Paper 6716. Available from: https://aes.org/publications/elibrary-page/?id=13520

@inproceedings{Bajic2006_13520,
  author = {Bajic, Vladan},
  title = {{Adaptive Filters in Wavelet Transform Domain}},
  booktitle = {AES Convention 120},
  note = {Paper 6716},
  year = {2006},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13520}
}

TY  - CPAPER
TI  - Adaptive Filters in Wavelet Transform Domain
AU  - Bajic, Vladan
T2  - AES Convention 120
M1  - Paper 6716
PY  - 2006
DA  - 2006/05/06
UR  - https://aes.org/publications/elibrary-page/?id=13520
PB  - Audio Engineering Society
LA  - en
AB  - The paper presents performance comparison between two methods of implementing adaptive filtering algorithms for noise reduction, namely the Normalized time domain Least Mean Squares (NLMS) algorithm, and the Wavelet transform domain LMS (WLMS). A brief theoretical development of both methods is explained, and then both algorithms are implemented on the real time Digital Signal Processing (DSP) system used for audio signals processing. Results are presented showing the performance of each algorithm both in time and frequency domains. Noise reduction effects produced by different algorithms were shown across the spectrum, and distorting effects were analyzed. Trade-offs of convergence speed versus added noise were analyzed. Overall results show convergence speed improvement when using WLMS algorithms over the NLMS algorithm.
ER  -