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Adaptive IIR Filter Based on Penalized Spline

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Опубліковано в::Programming and Computer Software vol. 50, no. 6 (Dec 2024), p. 435
Автор: Kochegurova, E. A.
Інші автори: Martynova, Yu. A.
Опубліковано:
Springer Nature B.V.
Предмети:
Adaptation
Computing costs
Algorithms
Real time
Adaptive filters
Flexibility
Topology
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Короткий огляд:The purpose of this study is to develop a technique for real-time implementation of spline adaptive filters (SAFs). The P-SAF proposed in this paper is based on a recurrent penalized (P) spline and, by analogy with the classical SAF, consists of a linear dynamic component and nonlinear static component. To adapt the P-SAF, computational circuits with different topologies are developed. The proposed approach makes it possible to adapt knots and evaluate spline coefficients simultaneously. This improves the efficiency of the P‑SAF as compared to the classical SAF, as well as reduces the computational costs. The efficiency of the P‑SAF in terms of MSE[dB] on model and real-time series is equal to or higher than that of the classical SAF.
ISSN:0361-7688
1608-3261
DOI:10.1134/S0361768824700300
Джерело:Advanced Technologies & Aerospace Database