SELECTION OF DELTA FUNCTION WAVEFORM AND ITS PARAMETERS FOR OPTIMAL DISCRETE WAVELET TRANSFORM APPLICATION TO INPUT SIGNALS BASED ON THEIR PURPOSE

Abstract

The discrete wavelet transform (DWT) stands out as one of the most powerful techniques for analyzing non-stationary signals across time and scale domains. Sensor signals like vibration, acoustic, current-voltage, medical (ECG/EEG), and others captured in real-world systems typically feature noise, transient events (impulses, jumps, discontinuities), and gradual trends. Thus, selecting the appropriate wavelet type and its parameters during processing critically determines the output's precision and reliability.