Modeling of signals with complex structure based on wavelet transform construction.

  1. Institute of Cosmophysical Research and Radio Wave Propagation FEB RAS
  2. Kamchatka State Technical University

 A new method for processing of signals with complex structure is proposed. Signal modeling was carried out on the basis of combining methods of the wavelet transform and a well-known class of models, autoregression models, integrated moving average. The proposed approach is considered on the example of ionospheric data processing. An automatic algorithm for joint processing of data of the critical frequency foF2 and three-hour indices of geomagnetic activity K is considered. It allows us to identify anomalous changes in ionospheric parameters preceding strong earthquakes in Kamchatka.

 

Mandrikova O.V., Bogdanov V.V., Polozov Yu.A. Modeling of signals with complex structure based on wavelet transform construction. // Information Technologies No. 4. pp.12-19.