REMOVING NOISE COMPONENTS OF INFORMATION SIGNALS BY USING ORTHOGONAL WAVELET TRANSFORM

A.V. Voloshko, R. Almabrok

Èlektron. model. 2020, 42(5):97-110
https://doi.org/10.15407/emodel.42.05.097 

ABSTRACT

Based on the analysis of the application of the methods of reducing the negative impact of noise in the presence of white noise, white Gaussian noise and other types of noise caused by distortions in the electrical network, a modified, adaptive to harmonic composition and type of distortion of the information form is proposed for the accuracy and speed of information signal processing signal compression / recovery method using orthogonal wavelet transformations. It is shown that the quality of noise component removal and compression of information signals is greatly influenced by the choice of threshold type and wavelet basis.

KEYWORDS

wavelet analysis, type of threshold value, information signal with noise.

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