An estimation algorithm for AR models with closely located lightly damped low frequency poles

We present a pole estimation algorithm which is based on an overdetermined adaptive IIR filter with an additional postprocessing stage to extract the pole locations from the adaptive weights. The adaptive filtering algorithm used, is a pseudo-linear regression algorithm which is solved by a time-rec...

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Bibliographic Details
Published in:	1997 IEEE International Conference on Acoustics, Speech, and Signal Processing Vol. 5; pp. 3821 - 3824 vol.5
Main Authors:	Harteneck, M., Stewart, R.W., McWhirter, J.G., Proudler, I.K.
Format:	Conference Proceeding
Language:	English
Published:	Washington DC IEEE 1997 IEEE Computer Society Press
Subjects:	Adaptive filters Applied sciences Array signal processing Brain modeling Detection, estimation, filtering, equalization, prediction Exact sciences and technology Filtering algorithms Frequency estimation IIR filters Information, signal and communications theory Polynomials Predictive models Sensor arrays Signal and communications theory Signal processing algorithms Signal, noise Telecommunications and information theory Infinite impulse response filter Autoregressive model Adaptive filter Signal estimation
ISBN:	0818679190, 9780818679193
ISSN:	1520-6149
Online Access:	Get full text
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