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in AI and Deep Learning by (50.2k points)

I have a degree in computer science and I have taken the following math courses.

  • Calculus I

  • Calculus II

  • Discrete Mathematics and Number Theory

  • Linear Algebra

  • Probability

  • Logic

  • Automata Theory

What other courses should I take in order to prepare for studying wavelets, with a focus on implementing wavelet transforms?

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Wavelets are taught usually as filter banks. This means you need to know Fourier transforms (all kinds), and DSP (all sorts of filtering techniques) properly. Wavelets follow naturally after this. I would recommend signal processing or some similar course that covers Fourier transforms and the like. Besides being useful as a foundation for wavelets, Fourier theory will give you a new way of looking at data that is often useful.

You can refer the following link for learning Wavelets from scratch:

http://web.iitd.ac.in/~sumeet/WaveletTutorial.pdf

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