Understanding digital signal processing

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1. anyfooJul 2025
   And not just for audio. In fact, I don't care about audio that much, and they're still some of my most treasured technical books (I have them in print form, and still reference them online pretty regularly).

   Those changed my life, in a sense. Not my professional life, but outside of work it led me down a deep rabbit hole into mathematics, digital signal processing, and even analogue electronics and some light RF engineering. (This is not relevant to my professional life, since I started to take great care not to make any more of my hobbies my job.)

   I spent endless hours thinking about this stuff on my commute, and hunched over Matlab.

   The other book I recommend is Richard G. Lyons "Understanding Digital Signal Processing".

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2. dsp_personJul 2024
   I find [1] a good reference. A con is the examples are in matlab, but it's clear enough between the text and matlab code to write your own implementation.

   Also [2] is a decent book for overall dsp concepts.

   [1] DAFX - Digital Audio Effects (Second Edition) Edited by Udo Zölzer https://dafx.de/DAFX_Book_Page_2nd_edition/index.html

   [2] Understanding Digital Signal Processing, Richard Lyons

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3. a-dubNov 2022
   richard lyons' textbook "understanding digital signal processing" has a nice treatment of spectral leakage issues and choice of window functions.

   i think it may even discuss the integer multiple issue you speak of with nice illustrations of the "wrapping" effect.

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4. vermarishMay 2022
   Understanding Digital Signal Processing, by Richard G Lyons. I read it in my first couple months of college. I had no idea how to understand the differential equations, but the content was interesting enough to motivate me to study Applied Math.
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5. cushychickenMar 2022
   You're right that complex numbers simplify the math incredibly. Being able to move everything to the baseband is a huge help.

   I think the fundamental problem is that:

   1) there isn't a whole lot of comfort with complex numbers generally, so getting rid of them makes the material seem more approachable - at the cost of being significantly more complicated, and

   2) a lack of good resources for implementing common DSP algorithms in actual hardware. The jump from Matlab to raw C is mystifying to many people (myself included in many cases).

   I actually prefer Lyons's Understanding Digital Signal Processing as an intro text over this one.

   I also really benefitted from having a good teacher in this stuff. Dan Boschen with DSPrelated runs some great online classes on DSP that helped me immensely in understanding this material. About $200 for five classes, with tons of great iPython notebooks of examples. (He was the one who helped me get the "all math works the same at baseband" advantage of complex numbers.)

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6. vermarishFeb 2022
   For curiosity: Understanding Digital Signal Processing, by Richard G Lyons. I read it when I was starting college as an undeclared major, and I honestly didn't understand half of it, but I was getting into music production and it taught me the ins and outs of impulse responses. I later declared a major in Applied Computational Math primarily because of that book.

   For intellectual ability: it wasn't a particular book, but it was an honors-level Real Analysis class that forced me to re-learn the way I learn mathematics.

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