An Approximation for the 32-point Discrete Fourier Transform
R. J. Cintra

TL;DR
This paper discusses a simplified approximation of the 32-point Discrete Fourier Transform, focusing on reducing arithmetic complexity for efficient computation.
Contribution
It provides a condensed overview of the 32-point approximate DFT and analyzes its arithmetic complexity, offering insights into efficient implementation.
Findings
Reduced arithmetic complexity compared to exact DFT
Simplified computational structure for 32-point DFT
Potential for faster signal processing applications
Abstract
This brief note aims at condensing some results on the 32-point approximate DFT and discussing its arithmetic complexity.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMatrix Theory and Algorithms
