Daily Note: 8 November 2026

Today I completed my Digital Signal Processing assignment and submitted it. I spent too much time polishing up the last 10%, but old habits die hard I guess. In any case, I greatly enjoyed it: I learned about DTMF signaling (now I know where those tones come from!) and applied some deconvolution techniques to recover an astronomical image convolved with a point spread function modelling the aperture of the lens. I wont discuss it more, but it was great fun seeing the maths and computation blend together to reveal that which looks to be lost! There’s an existential metaphor there somewhere… I read through Understanding Diffusion Models: A Unified Perspective by Calvin Luo (2022) which I greatly enjoyed, and it reminded me of this great series on ODEs and SDEs for machine learning that I read through a while back. If I get the time next term, I’d love to sit in on some lectures on stochastic processes and stochastic differential equations. I read through some other papers on diffusion…

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