Mathematical Frameworks for Signal and Image Analysis - Adaptive Time-Frequency Methods

This course on "Mathematical Frameworks for Signal and Image Analysis" aims to teach learners about adaptive time-frequency methods. The course covers topics such as adaptive time-frequency decomposition, Fourier decomposition, electrocardiogram analysis, Fourier transform, wavelet transform, and multi-taper analysis. The teaching method involves lectures and practical examples. This course is intended for individuals interested in signal and image analysis, particularly those with a background in mathematics or a related field.