Wavelet Analysis and its Applications: Study Guide

This manual contains the theoretical foundations of Fourier analysis and wavelet analysis, the practical aspects of the use of wavelet transformation for analysis and processing of signals and time series are considered. Examples of using wavelet analysis in problems of computing tomography are given. The manual contains the material of the lecture course read by the authors of the Faculty of Computational Mathematics and Cybernetics of the Moscow State University named after M.V. Lomonosov. The second publication is complemented by examples and illustrations.
For students and graduate students of universities in the specialties "mathematics" and "Applied Mathematics and Informatics"