17: Block-based Processing, C++ Real-Time Audio Programming with Bela

Lecture 17 of C++ Real-Time Audio Programming with Bela. This lecture introduces block-based processing and the Fast Fourier Transform, which form the basis of phase vocoder audio effects.
In this lecture:
Section 1: Introducing block-based processing 0:00
Section 2: Block-based processing code 12:24
Section 3: Sending data to the GUI 22:00
Section 4: The Fast Fourier Transform 25:39
Section 5: Overlapping blocks 31:46
Example code and companion materials:
github.com/BelaPlatform/bela-...
This course is a deep dive into how Bela processes data, and how to implement real-time audio and interaction. If you want to learn or improve your skills with C++ and audio programming, this is a great way to start!
Bela is the open-source platform for creating beautiful interaction. If you’d like to get a Bela system to follow along with these lectures, visit shop.bela.io. Use promo code CREATEATHOME for £10 off Bela and Bela Mini Starter Kits.
Music by Vula Viel (vulaviel.com).

[@rifosi]

This is really a great source of information. Exactly what I needed to my endeavors. Just one remark: after running the code, I got a lot of underrun messages in the console. After some debugging, I found out that the problem was somewhat related with the communication with the Gui. I increased block size to 32 (it was set to 16 as default) and the problem was solved.

[@mt5486]

this course is absolutely marvelous, beautifully taught, and I love the interactive tasks along the way. Thank you for continuing to add new topics!

[@mt5486]

PS: I strongly recommend adding Gareth Loy's Musimathics Vol 2 to the reading list. One of the most intuitive explanations of DSP math for musicians as well as acoustics and other topics.

[@immortalkarin]

amazing course, a must as an audio dsp resource for people getting into this field!

[@user-lx4sp1gl4f]

Thanks for this lecture!

[@kostantinosmag2986]

Great thank you ..... :)

[@richardarntzen5513]

Super course. Q: in slide 17 (and some following slides with the same example), the amplitude of the last sine curve (7*pi/8) seems too big, perhaps 10x too big?