Drift Removal in Plant Electrical Signals via IIR Filtering Using Wavelet Energy
| Autor: | Koushik Maharatna, Barry Juans Ajiwibawa, Srinandan Dasmahapatra, Sanmitra Ghosh, Stefano Mancuso, Andrea Vitaletti, Shre Kumar Chatterjee, Elisa Masi, Saptarshi Das |
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| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
FOS: Computer and information sciences
Engineering IIR filter Optimum filter design Plant electrical signal processing Wavelet packet energy Agronomy and Crop Science Horticulture Forestry Computer Science Applications1707 Computer Vision and Pattern Recognition Animal Science and Zoology FOS: Physical sciences Systems and Control (eess.SY) Low frequency Statistics - Applications Wavelet packet decomposition Wavelet Robustness (computer science) Control theory FOS: Electrical engineering electronic engineering information engineering Applications (stat.AP) Physics - Biological Physics Infinite impulse response Randomness Signal processing business.industry Network packet Computer Science Applications Biological Physics (physics.bio-ph) Computer Science - Systems and Control business |
| Popis: | Plant electrical signals often contains low frequency drifts with or without the application of external stimuli. Quantification of the randomness in plant signals in a stimulus-specific way is hindered because the knowledge of vital frequency information in the actual biological response is not known yet. Here we design an optimum Infinite Impulse Response (IIR) filter which removes the low frequency drifts and preserves the frequency spectrum corresponding to the random component of the unstimulated plant signals by bringing the bias due to unknown artifacts and drifts to a minimum. We use energy criteria of wavelet packet transform (WPT) for optimization based tuning of the IIR filter parameters. Such an optimum filter enforces that the energy distribution of the pre-stimulus parts in different experiments are almost overlapped but under different stimuli the distributions of the energy get changed. The reported research may popularize plant signal processing, as a separate field, besides other conventional bioelectrical signal processing paradigms. 12 pages, 9 figures, 1 table |
| Databáze: | OpenAIRE |
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