DIGITAL SIGNAL PROCESSING WAVELETS DAUBECHIES

Abstract

In the scientific work deals with the purification of the electromagnetic signal from the noise spreading signal with respect to the basis wavelets Daubechies, identifying the level of noise in the signal and filtering the detail coefficients, method of reduction of high-frequency data. One way of clearing or decrease noise in the digital signal for the wavelet technologies is a threshold processing according to the program-controlled criterion Stein, spreading the signal with wavelet Daubechies high and low frequencies. Various methods of threshold processing are given. The process of cleaning the GPR signal from noise used in subsurface studies are shown in the form of graphs and drawings of the spectra of the original noisy and cleared by wavelets signal.