Fractional-Octave Filters for Energy-Efficient Noise Measurement for Sensor Networks
| Autor: | Ondrej Krajsa, Jiri Schimmel, Marek Rysavy, Petr Sysel |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Noise measurement
Computer science Noise (signal processing) Low-pass filter 05 social sciences 050109 social psychology Octave (electronics) Upsampling Band-pass filter 0502 economics and business Electronic engineering 0501 psychology and cognitive sciences Wireless sensor network 050203 business & management Efficient energy use |
| Zdroj: | ICUMT |
| DOI: | 10.1109/icumt.2018.8631255 |
| Popis: | This paper deals with design of digital bandpass filters for fixed-point arithmetic that fulfills requirements of IEC 61260–1 standard for fractional-octave-band filters. The filters use coupled form and downsampling that provides good approximation of the relative attenuation for fractional-octave-band filters and good stability at low-power fixed-point microprocessors which are essential for energy-efficient processing in sensor networks. For the 16-bit resolution, the IEC 61260–1 Class 1 requirements are fulfilled for designed octave-band filters from 63 Hz and for third-octave-band filters from 50 Hz. Implementation of the IEC 61260–1 fractional-octave-band filters in low-power noise sensors enables advanced measurements that conform international standards for noise measurements in the smart city or in other sensor network infrastructures. |
| Databáze: | OpenAIRE |
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