Signal Analysis and Compression

This course is focused on basic and advanced methods for signal analysis and data compression. Lectures will be focused on the theoretical description of the algorithms such as Markov models, Entropy, Statistical models, Fourier and Wavelet transforms, and all aspects of the data compression methods. The Exercises will enable the student to experimentally test described methods on the artificial as well as the real-world data. The task will guide students through the application of the algorithms and allow them to understand all topics discussed in this course.