Adaptive IIR Filter Based on Penalized Spline

Adaptive IIR Filter Based on Penalized Spline

Bibliographic Details
Parent link:Programming and Computer Software.— .— New York: Pleiades Publishing, Ltd.
Vol. 50, iss. 6.— 2024.— P. 435–444
Main Author: Kochegurova E. A. Elena Alekseevna
Corporate Author: National Research Tomsk Polytechnic University (570)
Other Authors: Martynova Yu. A. Yulia Alekseevna
Summary:Title screen
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
Текстовый файл
AM_Agreement
Language:English
Published: 2024
Subjects:
P-spline
spline adaptive filter
instrumental function
электронный ресурс
труды учёных ТПУ
Online Access:https://doi.org/10.1134/S0361768824700300
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=677893

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