Some Results of Designing an IIR Smoothing Filter with P- Splines; International Review of Automatic Control (IREACO); Vol. 12, № 4
| Parent link: | International Review of Automatic Control (IREACO) Vol. 12, № 4.— 2019.— [P. 200-209] |
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| Autor principal: | |
| Autor Corporativo: | |
| Outros Autores: | , |
| Resumo: | Title screen Requirements for modern digital filters are high and depend on some selective properties of such filters. IIR filters can ensure the narrowest transition width of signal omission and suppression with the same DF order. This study proposes to design and analyze a software-based IIR filter, a digital filter (DF) that is based on simple mathematical basis facilitates subsequent interpretation of data (estimation of derivatives, trends, forecast of time series, etc.). A modified penalty spline has been used as a model for such digital software-based IIR filter. A recurrent form of the P-spline computation has been created for the the IIR spline filter. The new modified recurrent P-spline can be used for stand-alone or group data. The recurrent spline filter has been investigated by the methods of linear dynamic systems. The obtained difference equation of the spline transform corresponds to a linear recursive DF with constant parameters. Frequency and time characteristics of the DF, being the main characteristics system and instrument functions, have been obtained analytically. The system function has been used to investigate the frequency characteristics of the spline filter and it has been found out that the spline filter is low frequency throughout the entire variation range of the spline parameters. Such filter characteristics correspond to a second-order aperiodic segment or a system with delay, which is typical for grouped data processing. The selective properties of the spline filter are clearly illustrated with the width of the instrument function, which depends on the spline parameters. Studies have shown that the passband bandwidth is mostly influenced by the group data size (the number of non-recursive terms of the difference equation). The stability of the recursive spline filter has been also estimated analytically based on the characteristic equation and the Hurwitz criterion. DF is always stable only when the conjugation of recurrent coefficients occurs at the beginning of a spline segment. Frequency characteristics of the spline filter have been confirmed in the time domain by histograms of the remainders of two recovered model functions. |
| Idioma: | inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://doi.org/10.15866/ireaco.v12i4.17048 |
| Formato: | Recurso Electrónico Capítulo de Livro |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=661117 |
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| 200 | 1 | |a Some Results of Designing an IIR Smoothing Filter with P- Splines |f E. A. Kochegurova, I. V. Khozhaev, S. V. Rybushkina | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 330 | |a Requirements for modern digital filters are high and depend on some selective properties of such filters. IIR filters can ensure the narrowest transition width of signal omission and suppression with the same DF order. This study proposes to design and analyze a software-based IIR filter, a digital filter (DF) that is based on simple mathematical basis facilitates subsequent interpretation of data (estimation of derivatives, trends, forecast of time series, etc.). A modified penalty spline has been used as a model for such digital software-based IIR filter. A recurrent form of the P-spline computation has been created for the the IIR spline filter. The new modified recurrent P-spline can be used for stand-alone or group data. The recurrent spline filter has been investigated by the methods of linear dynamic systems. The obtained difference equation of the spline transform corresponds to a linear recursive DF with constant parameters. Frequency and time characteristics of the DF, being the main characteristics system and instrument functions, have been obtained analytically. The system function has been used to investigate the frequency characteristics of the spline filter and it has been found out that the spline filter is low frequency throughout the entire variation range of the spline parameters. Such filter characteristics correspond to a second-order aperiodic segment or a system with delay, which is typical for grouped data processing. | ||
| 330 | |a The selective properties of the spline filter are clearly illustrated with the width of the instrument function, which depends on the spline parameters. Studies have shown that the passband bandwidth is mostly influenced by the group data size (the number of non-recursive terms of the difference equation). The stability of the recursive spline filter has been also estimated analytically based on the characteristic equation and the Hurwitz criterion. DF is always stable only when the conjugation of recurrent coefficients occurs at the beginning of a spline segment. Frequency characteristics of the spline filter have been confirmed in the time domain by histograms of the remainders of two recovered model functions. | ||
| 461 | |t International Review of Automatic Control (IREACO) | ||
| 463 | |t Vol. 12, № 4 |v [P. 200-209] |d 2019 | ||
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a p-spline | |
| 610 | 1 | |a recurrence algorithm | |
| 610 | 1 | |a iir filter stability | |
| 610 | 1 | |a frequency response | |
| 610 | 1 | |a instrumental function | |
| 610 | 1 | |a алгоритмы | |
| 610 | 1 | |a стабильность | |
| 610 | 1 | |a БИХ-фильтры | |
| 610 | 1 | |a отклики | |
| 700 | 1 | |a Kochegurova |b E. A. |c specialist in the field of Informatics and computer engineering |c associate Professor of Tomsk Polytechnic University, candidate of technical Sciences |f 1958- |g Elena Alekseevna |3 (RuTPU)RU\TPU\pers\33442 |9 17123 | |
| 701 | 1 | |a Khozhaev |b I. V. |c specialist in the field of informatics and computer engineering |c engineer of Tomsk Polytechnic University |f 1992- |g Ivan Valerievich |3 (RuTPU)RU\TPU\pers\35632 |9 18801 | |
| 701 | 1 | |a Rybushkina |b S. V. |c linguist |c Leading expert of Tomsk Polytechnic University, Lecturer |f 1978- |g Svetlana Vladimirovna |3 (RuTPU)RU\TPU\pers\33436 | |
| 712 | 0 | 2 | |a Национальный исследовательский Томский политехнический университет |b Инженерная школа информационных технологий и робототехники |c 2017- |x TPU |7 ca |8 rus |9 28330 |
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