ThinkDSP VS mb-sound

There's a free book online called Think DSP that teaches you how to design and visualize filters in Python: https://greenteapress.com/wp/think-dsp/

https://greenteapress.com/wp/think-dsp/

It can be bought, but is available for free. Code is also available via GitHub. It uses Python and Jupyter.

"The premise of this book (and the other books in the Think X series) is that if you know how to program, you can use that skill to learn other things. I am writing this book because I think the conventional approach to digital signal processing is backward: most books (and the classes that use them) present the material bottom-up, starting with mathematical abstractions like phasors."

How about Think DSP: Digital Signal Processing in Python - https://github.com/AllenDowney/ThinkDSP

My application is signal processing and tried to reproduce parts of https://github.com/AllenDowney/ThinkDSP in C++. https://gitlab.com/cpp8/thinkdsp.git and supplemented with some others. Documentation in https://github.com/RajaSrinivasan/assignments.git

Think DSP

You can try the synthesizer and other audio code if you're using Linux.

Here's an earlier version of the synthesizer (licensed under AGPL3). The MIDI CCs for controlling different parameters are listed in the source code. You'd want to clone the repo, run through the installation instructions in the mb-sound repo, do a bundle update mb-sound, then run bundle exec bin/complex_synth.rb. https://github.com/mike-bourgeous/mb-surround/blob/3823de44a...

Here's the core sound repo (licensed under BSD) with some examples for getting started: https://github.com/mike-bourgeous/mb-sound

I don't plan on making the visualizations available, in part because the system is too convoluted and they probably only work in my specific environment.

Ruby's % operator behaves the same way, for both integer and float values. A positive-only modulus function is useful for wrapping angles. This bit me a week or two ago when I was porting audio algorithms from Ruby to C, and had to implement a positive modulus function[0].

[0] https://github.com/mike-bourgeous/mb-sound/blob/a8eb1232ae35...

Someone asked somewhat recently about visualizing analytic signals in 3D (https://news.ycombinator.com/item?id=28633829). This is my video, with 3D animation, summarizing the FFT and analytic signals, plus a review of digital sampling.

The submitted link is for a blog post about the video which includes a video transcript (repeated for reference: https://blog.mikebourgeous.com/2021/10/04/fast-fourier-trans...)

Here's a direct link to the video: https://www.youtube.com/watch?v=iyjIVSnrPSo

I've opened the Ruby code building blocks I use to produce these visualizations (which are not open): https://github.com/mike-bourgeous/mb-sound

Yeah, here's my main sound repo: https://github.com/mike-bourgeous/mb-sound

There's also an FFI wrapper for jackd: https://github.com/mike-bourgeous/mb-sound-jackffi

I'm certain there are still improvements that could be made to the APIs and to performance, so I'm not currently releasing these on rubygems.

Edit: My goal is to make a mini-synth which takes input from the computer keyboard.

If you are a Ruby programmer, you could use this rubygem I wrote: https://github.com/mike-bourgeous/mb-sound

A video about using that gem to make a synthesizer: https://m.youtube.com/watch?v=aS43s6TWnIY&feature=youtu.be

Part of a long-running experiment of mine to make educational videos about sound, which I hope might help you on your audio programming journey: https://www.youtube.com/playlist?list=PLpRqC8LaADXnwve3e8gI2...

There have been recent posts to HN about the difficulty of reading key-up events from the terminal. I used MIDI and a separate MIDI keyboard app for my video demo.