Abstract
Online signal denoising refers to a digital filtering techniques in order to estimate a signal s[n] from the noisy signal x[n] = s[n] + v[n], where v[n] is noise. Standard filtering techniques lead to a time delay of the signal estimate ŝ[n], which is caused by the group delay of the filter. Wiener filtering is one possible way to reduce this delay. The design of a Wiener filter requires a statistical model of the signal s[n] and the measurement noise v[n]. The noise model can be determined by means of signal analysis of the measurement noise v[n]. The modeling of the signal s[n] on the other hand requires more dedicated analysis. This makes the application of this filter less practicable. In this paper a design methodology for Wiener filters is presented. The modeling of the signal is done by means of the signal bandwidth, hence the design effort is equal to the design of a standard digital filter. Also the same design tools, e.g. a filter design methods, can be used. The performance of the approach is presented by means of simulation studies and a measurement example.
Originalsprache | englisch |
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Titel | I2MTC 2020 - International Instrumentation and Measurement Technology Conference, Proceedings |
Erscheinungsort | Dubrovnik |
ISBN (elektronisch) | 9781728144603 |
DOIs | |
Publikationsstatus | Veröffentlicht - 30 Juni 2020 |
Veranstaltung | 2020 IEEE International Instrumentation and Measurement Technology Conference: IEEE I2MTC 2020 - Virtuell, Dubrovnik, Kroatien Dauer: 25 Mai 2020 → 28 Mai 2020 https://i2mtc2020.ieee-ims.org/ |
Konferenz
Konferenz | 2020 IEEE International Instrumentation and Measurement Technology Conference |
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Kurztitel | IEEE I2MTC 2020 |
Land/Gebiet | Kroatien |
Ort | Virtuell, Dubrovnik |
Zeitraum | 25/05/20 → 28/05/20 |
Internetadresse |
ASJC Scopus subject areas
- Sicherheit, Risiko, Zuverlässigkeit und Qualität
- Instrumentierung