PM_ME_VINTAGE_30S [he/him]

Anarchist, autistic, engineer, and Certified Professional Life-Regretter. If you got a brick of text, don’t be alarmed; that’s normal.

No, I’m not interested in voting for your candidate.

  • 3 Posts
  • 183 Comments
Joined 1 year ago
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Cake day: July 9th, 2023

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  • Amazon Fire Tablet 7in. I bought it literally just to read PDFs, and it was so slow that it was basically unusable. I tried switching out the launcher to something more minimal (Niagara launcher I think), and I figured out how to disable the ads that were all over the place. It helped a bit, but not enough to overcome the hardware and Fire OS. (I think I needed ADB for both of those fixes; I had to put in some real work to unfuck that tablet.) Plus the screen was too small for my pathetic human eyeballs.

    Was it worth $30? At the time, yeah, because I literally couldn’t afford anything else, but I now have an $80 10in generic Android tablet that’s wildly faster.








  • PM_ME_VINTAGE_30S [he/him]@lemmy.sdf.orgtoMemes@lemmy.mlMath
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    6 months ago

    Sounds like fun! I’m going to bed soonish but I’m willing to answer questions about multivariable calculus probably when I wake up.

    When I took multivariable calculus, the two books that really helped me “get the picture” were Multivariable Calculus with Linear Algebra and Series by Trench and Kolman, and Calculus of Vector Functions by Williamson, Crowell, and Trotter. Both are on LibGen and both are cheap because they’re old books. But their real strength lies in the fact that both books start with basic matrix algebra, and the interplay between calculus and linear algebra is stressed throughout, unlike a lot of the books I looked at (and frankly the class I took) which tried to hide the underlying linear algebra.









  • DSP (digital signal processing) is the field of applied mathematics and engineering dedicated to transforming and manipulating digital signals.

    Examples of real digital signals include audio files, image files, video files, and digitized recordings of various physical quantities by computers like the configuration of a robot as it moves in time, measurements of the processes in a factory, the trajectory of a spacecraft — almost anything that can be periodically sampled and take on a finite set of values [1] can be seen as a digital signal.

    DSP includes using tools like the Discrete Fourier Transform (DFT), the Z-transform, wavelet analysis, probability, statistics, and linear algebra to do things such as filter a signal (example: audio equalizer), predict future values (example: weather forecasting), data compression (example: JPEGs), system identification (example: fit a model of the earth to predict seismic activity), control (example: make a DC motor to respond to position commands), and stabilization (example: keep plane from “wanting” to smash into the ground). Particularly, it requires a careful consideration of the effect of sampling a signal (example: if done carelessly, you can make the sampled system unstable [read: explode]), as well as an interpolation process of some kind if you plan on using that signal outside your computer (example: you want to hear an audio signal stored on your computer).

    I got into DSP because I was an audio engineer and musician [2], and I wanted to design my own audio plugins. IMO I think almost everyone would benefit from some knowledge of DSP, but the math is really intense. Personally, I found out late in life that I have a nearly infinite appetite for math, so it’s a good fit for me.

    Here’s a playlist about DSP if you’re interested.

    [1] Actually, a lot of basic DSP books don’t restrict the signal to be in a finite set because it makes the math easier if the signal could be any real number. However, certain structures that would be exactly equivalent in theory are not equivalent on a real computer because ordinary computer arithmetic is approximate.

    [2] I still play music, but not as much as before engineering school.