Explore the powerful world of wavelet transform in this comprehensive 34-minute video. Delve into the revolutionary method that uncovers hidden structures in signals, applicable across various fields from hydrodynamics to neuroscience. Learn how to build a wavelet toolkit step-by-step, starting with an introduction to time and frequency domains, Fourier Transform, and its limitations. Discover the concept of wavelets as localized functions, their mathematical requirements, and the Real Morlet wavelet. Gain insights into wavelet transform overview, mother wavelet modifications, and computing local similarity. Understand complex topics such as function dot products, convolution, and complex numbers. Visualize wavelet analysis through scalograms and grasp the concept of uncertainty with Heisenberg boxes. Conclude with a recap of this invaluable signal processing tool, presented by computational neuroscience student and researcher Artem Kirsanov from Moscow State University.