Multi-Channel FFT Architectures Designed via Folding and Interleaving
Nanda K. Unnikrishnan, Keshab K. Parhi

TL;DR
This paper introduces a systematic framework for designing multi-channel FFT architectures using folding and interleaving, presenting three distinct architectures with different preprocessing steps and execution orders.
Contribution
It provides a novel systematic approach to multi-channel FFT design, expanding beyond single-channel solutions with three new architectures.
Findings
Three distinct multi-channel FFT architectures are proposed.
The architectures differ in input/output preprocessing and execution order.
The framework enables systematic design of multi-channel FFT systems.
Abstract
Computing the FFT of a single channel is well understood in the literature. However, computing the FFT of multiple channels in a systematic manner has not been fully addressed. This paper presents a framework to design a family of multi-channel FFT architectures using {\em folding} and {\em interleaving}. Three distinct multi-channel FFT architectures are presented in this paper. These architectures differ in the input and output preprocessing steps and are based on different folding sets, i.e., different orders of execution.
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
TopicsParallel Computing and Optimization Techniques · Digital Filter Design and Implementation · Embedded Systems Design Techniques
