Abstract | ||
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Possible solutions for noncausal filter implementation are considered. Detailed calculation of the performance parameters associated with each possible solution is provided. Such calculation shows that the number and the position of the system poles affect the performance of each solution. This can have a profound impact over many linear-filtering applications where the designed filter is periodically adapted without constraining the poles to lie inside the unit circle and, at each adaptation step, the structure for its implementation has to be automatically chosen. |
Year | DOI | Venue |
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2003 | 10.1109/ICASSP.2003.1201694 | 2003 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL VI, PROCEEDINGS: SIGNAL PROCESSING THEORY AND METHODS |
Keywords | Field | DocType |
transient response,adaptive filters,telecommunications,transfer functions,infinite impulse response,finite impulse response filter,adaptive filter,poles and zeros,digital filters,complexity,linear filtering,computational complexity | Digital biquad filter,Linear filter,Computer science,Control theory,Prototype filter,Network synthesis filters,Infinite impulse response,2D Filters,Adaptive filter,m-derived filter | Conference |
Citations | PageRank | References |
1 | 0.38 | 1 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Davide Mattera | 1 | 199 | 35.08 |
Francesco Palmieri | 2 | 1713 | 182.92 |
Armando Fiore | 3 | 1 | 0.38 |