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Abstract: In this paper, we describe a new adaptive system for the enhancement of autoregressive (AR) signals which are disturbed by additive broadband noise. The system is comprised of an adaptive Kalman filter operating as a fixed-lag smoother and a subsystem for AR parameter estimation. As opposed to the conventional approach of employing an extended Kalman filter, we estimate the Kalman filter parameters using the enhanced signal and thus establishing a feedback between the Kalman filter output and... (Update)
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BibTeX entry: (Update)
G. Doblinger, "An adaptive Kalman filter for the enhancement of noisy AR signals", Proc. 1998. http://citeseer.ist.psu.edu/doblinger98adaptive.html More
@misc{ doblinger98adaptive,
author = "G. Doblinger",
title = "An adaptive Kalman filter for the enhancement of noisy AR signals",
text = "G. Doblinger, An adaptive Kalman filter for the enhancement of noisy AR
signals, Proc. 1998.",
year = "1998",
url = "citeseer.ist.psu.edu/doblinger98adaptive.html" }
Citations (may not include all citations):815 Adaptive filter theory (context) - Haykin - 1987
140 Fundamentals of Statistical Signal Processing: Estimation Th.. (context) - Kay - 1993
101 Adaptive filtering prediction and control (context) - Goodwin - 1984
85 Digital Spectral analysis with applications (context) - Jr - 1987
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1 An efficient algorithm for parameter estimation of noisy AR .. (context) - Zheng - 1997
1 Adaptive AR modeling in white gaussian noise (context) - Wu, Chen - 1997
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