Spectrum Analysis of Signal in Wolfram Mathematica System

The purpose of this paper is a spectrum analysis signals various nature, construction the signal scalogram using Morlet wavelet, modification to obtain more informative graphic representation signal. Spectral constructed by means Fourier transform. A graphical result wavelet transform has been developed with help Mathematica system. For this, used as two-dimensional original scale introduced on it for value amplitude depending time and period its constituent components. This allows us additional information about dynamic properties complete (determination components). contains an example modified containing two pulses, audio white noise. basic in case wavelet. comparison scalogram, obtained built-in function, made paper. disadvantage first impossibility assessing frequency signal; advantage ability assess localization pulse. estimation periodicity, inaccuracy determining range pulse localization. Mathematica, recommended use combination approaches (using standard function determine pulse) (to periods