activity
20142026
most citedApproximate Computation of DFT without Performing Any Multiplications: Applications to Radar Signal Processing

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2026

MR-Compass: Inertial Navigation-Driven Motion Correction for Brain MRI

Musa Tunc Arslan, Fatih Calakli, Joshua Auger +3

Inertial sensors can track object kinematics, however, unbounded drift from integrating noisy signals makes them impractical for MRI motion correction at millimeter resolution and…

physics.med-ph2025

Radial spoke energy for self-navigated motion detection and position-ordered dynamic musculoskeletal MRI

Enping Lin, Fatih Calakli, Musa Tunç Arslan +2

Motion remains a key challenge in MRI, as both involuntary (e.g., head motion) and voluntary (e.g., joint motion) movement can degrade image quality or provide opportunities for dy…

eess.SP2021

Rapid TAURUS for Relaxation-Based Color Magnetic Particle Imaging

M. Tunç Arslan, A. Alper Özaslan, Semih Kurt +2

Magnetic particle imaging (MPI) is a rapidly developing medical imaging modality that exploits the non-linear response of magnetic nanoparticles (MNPs). Color MPI widens the functi…

eess.SP2019

Optimized Sharing of Coefficients in Parallel Filter Banks

M. Tunç Arslan, Onur Yorulmaz, Erdinç L. Atılgan

Filters are the basic and most important blocks of most signal processing applications. In many applications, a group of parallel filters are used as filter banks. Parallel filter…

cs.CC2014★ 1 cited

Approximate Computation of DFT without Performing Any Multiplications: Applications to Radar Signal Processing

Alican Bozkurt, Musa Tunç Arslan, Rasim Akin Sevimli +2

In many practical problems it is not necessary to compute the DFT in a perfect manner including some radar problems. In this article a new multiplication free algorithm for approxi…