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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