Radix 2 DIT FFT algorithm (Part 2) || EC Academy

Join this channel to get access to perks:
https://www.youtube.com/channel/UCB1DP9AnzMoNq1zctg6vg0Q/join
In this second part, we go beyond the basics of the Radix-2 Decimation-in-Time (DIT) FFT. We’ll practice butterfly computations step-by-step, understand twiddle factor handling, and work through complete 8-point & 16-point examples. You’ll also learn bit-reversal indexing, in-place computation tricks, and common pitfalls so you can implement FFTs confidently in MATLAB/Python and embed them in DSP projects.

What you’ll learn

Quick refresher: DFT vs FFT, Radix-2 DIT recap

Butterfly structure: flow, complex multiplications, symmetry, Twiddle factors: generation, reuse, angle mapping

Bit-reversal permutation: why & how (manual + code logic)

In-place vs out-of-place implementations

Worked examples: 8-point & 16-point FFT (intermediate stages shown)

Complexity & memory considerations

Numerical issues: scaling, overflow, fixed-point nodes.

If this helped, like, share, and subscribe to EC Academy for more DSP, Signals & Systems, and VLSI content.
📌 Request topics in the comments!

#FFT #Radix2 #DIT #DSP #SignalsAndSystems #ECAcademy #Engineering #MATLAB #Python #DigitalSignalProcessing

Видео Radix 2 DIT FFT algorithm (Part 2) || EC Academy канала EC Academy