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

Join this channel to get access to perks:    / @ecacademy   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