Adaptive IIR Filter Based on Penalized Spline

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Publicado en:Programming and Computer Software vol. 50, no. 6 (Dec 2024), p. 435
Autor principal: Kochegurova, E. A.
Otros Autores: Martynova, Yu. A.
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Springer Nature B.V.
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Acceso en línea:Citation/Abstract
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024 7 |a 10.1134/S0361768824700300  |2 doi 
035 |a 3130548176 
045 2 |b d20241201  |b d20241231 
100 1 |a Kochegurova, E. A.  |u National Research Tomsk Polytechnic University, Tomsk, Russia (GRID:grid.27736.37) (ISNI:0000 0000 9321 1499) 
245 1 |a Adaptive IIR Filter Based on Penalized Spline 
260 |b Springer Nature B.V.  |c Dec 2024 
513 |a Journal Article 
520 3 |a 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. 
653 |a Adaptation 
653 |a Computing costs 
653 |a Algorithms 
653 |a Real time 
653 |a Adaptive filters 
653 |a Flexibility 
653 |a Topology 
700 1 |a Martynova, Yu. A.  |u National Research Tomsk Polytechnic University, Tomsk, Russia (GRID:grid.27736.37) (ISNI:0000 0000 9321 1499) 
773 0 |t Programming and Computer Software  |g vol. 50, no. 6 (Dec 2024), p. 435 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
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