@inproceedings{b61c3d8d58194ba39939caf1306570d6,
title = "Adaptive IIR filtering for noisy input-output systems",
abstract = "This paper is concerned with adaptive IIR filtering for linear systems with noisy input and output measurements. A new and numerically efficient procedure for estimating the variances of the white input and output noises is established so that the adaptive IIR filter based on the bias-eliminated least-squares algorithm can be efficiently implemented. This new adaptive IIR filter can achieve a substantial reduction in computational effort, and meantime it can retain almost the same parameter estimation accuracy. Numerical results that illustrate the attractive properties of the new adaptive FIR filter are presented.",
author = "Zheng, {Wei Xing}",
year = "1999",
doi = "10.1109/ISSPA.1999.818190",
language = "English",
isbn = "1864354518",
series = "ISSPA 1999 - Proceedings of the 5th International Symposium on Signal Processing and Its Applications",
publisher = "IEEE Computer Society",
pages = "375--378",
booktitle = "ISSPA 1999 - Proceedings of the 5th International Symposium on Signal Processing and Its Applications",
note = "5th International Symposium on Signal Processing and Its Applications, ISSPA 1999 ; Conference date: 22-08-1999 Through 25-08-1999",
}