Work

A Mixed Precision FFT with Applications in MRI

Year: 2026

Type: conference-paper

Abstract: A mixed precision Fast Fourier transform (FFT) implementation is presented. The procedure uses per-block microscaling (MX), a global power-of-two prescale, and prequantized low-bit twiddles. We evaluate forward and round-trip FFT fidelity on two public MRI datasets and compare the effect of various low precision formats, image sizes, and MX block sizes on image quality. Results show that mantissa precision is the primary limiter under MX scaling while ablations suggest weak dependence on image size but a clear block-size trade-off with larger block sizes resulting in better numerical performance.

Source: IEEE International Conference on Acoustics Speech and Signal Processing

DOI: 10.1109/icassp55912.2026.11462990

Authors: Nikhil Deveshwar, Abhejit Rajagopal, Peder E.Z. Larson

Institutions: University of California, San Francisco, University of California, Berkeley

Language: English

Topic: Digital Filter Design and Implementation

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7155066091

FWCI: 6.273

Cites: 9

Cited by: 1

Related to: 10