Digital filtering and time-and-frequency analysis of nonstationary signals on the basis of wavelets and empirical modes

The problem of digital filtering of signals with localized disturbances is considered by the example of complex multicomponent and noisy processes detected in a seismic survey. The possibility to perform the time-and-frequency analysis of the corresponding signals with the use of wavelets and empirical modes is discussed. It is noted that decomposition of the signal into empirical modes is a promising instrument for studying the structure of experimental data, which extends the possibilities of studying the dynamics of systems with time-variable characteristics.