@inproceedings{fbea23aee3ee41099ac8faed5c91aa51,
title = "Fast adaptive IIR filtering with noisy input and output data",
abstract = "A new adaptive infinite impulse response (IIR) filtering algorithm for noisy input-output systems is proposed. The variances of the input and output measurement noise, which specifies the source of the noise-induced bias in the standard least-squares estimate, are computed using extra delayed noisy input measurements. Since good estimates of the noise variances are obtained in a quicker manner, the proposed adaptive algorithm achieves a faster rate of convergence.",
author = "Zheng, {Wei Xing}",
year = "2001",
doi = "10.1109/ISSPA.2001.949839",
language = "English",
isbn = "0780367030",
series = "6th International Symposium on Signal Processing and Its Applications, ISSPA 2001 - Proceedings; 6 Tutorials in Communications, Image Processing and Signal Analysis",
publisher = "IEEE Computer Society",
pages = "307--310",
booktitle = "6th International Symposium on Signal Processing and Its Applications, ISSPA 2001 - Proceedings; 6 Tutorials in Communications, Image Processing and Signal Analysis",
note = "6th International Symposium on Signal Processing and Its Applications, ISSPA 2001 ; Conference date: 13-08-2001 Through 16-08-2001",
}