Polynomial predictive filtering in control instrumentation: areview
Valiviita, S.
Ovaska, S.J.
Vainio, O.
Intelligent Power Electron., Helsinki Univ. of Technol., Espoo;
This paper appears in: Industrial Electronics, IEEE Transactions on
Publication Date: Oct 1999
Volume: 46,
Issue: 5
On page(s): 876-888
ISSN: 0278-0046
References Cited: 49
CODEN: ITIED6
INSPEC Accession Number: 6383629
Digital Object Identifier: 10.1109/41.793335
Current Version Published: 2002-08-06
Abstract
Additional delay is an unavoidable drawback of conventional
filters used frequently in industrial electronics. This delay is
particularly harmful if the filtered primary signal is to be used for
time-critical feedback or synchronization purposes. Therefore,
predictive signal processing methods can offer significant advantages
for these real-time applications. Polynomial predictive filters are
specified without explicit passbands and stopbands, and they are
behaving delaylessly or predictively for smoothly varying signal
components. The degree of smoothness of the incoming signal sets the
requirements for the applied filtering scheme and its parameters.
Smoothness of a signal is a fuzzy and application-specific concept: the
degree of smoothness depends on the ratio of the bandwidth of the
primary signal and the applied sampling rate, as well as the noise
component. In this paper, the authors review the most important
polynomial predictive filtering methods and algorithms, their design and
implementation techniques, and a collection of successful applications
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