Please use this identifier to cite or link to this item:
https://libeldoc.bsuir.by/handle/123456789/46943
| Title: | Sensor data frequency feature extraction |
| Authors: | Zhao Di |
| Keywords: | материалы конференций;Fast Fourier algorithm;Feature extraction |
| Issue Date: | 2022 |
| Publisher: | БГУИР |
| Citation: | Zhao Di. Sensor data frequency feature extraction / Zhao Di // Технологии передачи и обработки информации : материалы международного научно-технического семинара, Минск, март-апрель 2022 г. / Белорусский государственный университет информатики и радиоэлектроники. – Минск, 2022. – С. 66–68. |
| Abstract: | Frequency domain features are important for human activity recognition. However, the raw signal needs to be converted to frequency domain features using a fast Fourier transform. In the frequency domain, the time series data of each component is converted by using the Fast Fourier Transform (FFT) algorithm. |
| URI: | https://libeldoc.bsuir.by/handle/123456789/46943 |
| Appears in Collections: | Технологии передачи и обработки информации : материалы международного научно-технического семинара (2022)
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