Open Access
Table 2.
Summary of the known wave recognition methods.
| Name of the procedure | Target phenomenon | Key element of the procedure | Related phenomena, if known | Possible application in IWS creation |
|---|---|---|---|---|
| Automatic Whistler Detection and Analyzer algorithm, AWDA | Whistlers, in ground-based measurements | 2D image correlation in dynamic wave spectra | Energetic particles, hiss; Space Weather, earthquake, etc. | After adaptation to satellite recorded data |
| Automated Chorus and Hiss detection method | VLF chorus, hiss, in ground-based measurements | Artificial neural network in spectra | Magnetic records, energetic particles; Space Weather, etc. | Only few information is known from the method |
| Bandpass filtering of TEC time series computed from bi-frequency GPS receiver’s RINEX data | TID | Time domain digital filtering | Space Weather, earthquake, etc. | Without modifications |
| Bandpass filtering in a narrow range and wave-type verification | AGW and TID | Time domain digital filtering | Space Weather, earthquake, etc. | Used along with newly elaborated processing techniques |
| General algorithm for transient signal detection in time domain data series | Deterministic transients | Adaptive pattern recognition in time domain | Not specified | Only to solve special tasks and with further development |
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