Noel Murasko

most citedHybrid Dealiasing of Complex Convolutions

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

math.NA2026

Hybrid Dealiasing and Implicit Packing for Real Convolutions

Noel Murasko, John C. Bowman

Hybrid dealiasing is an FFT-based method for computing linear convolutions of complex-valued data that reduces the cost of dealiasing by performing zero padding implicitly. We deve…

math.FA2026

Empirical Approximation of $L_{p}$ Norms

Feng Dai, Egor Kosov, Noel Murasko

We study empirical $L_{p}$ moments of a random vector $φ$ based on its i.i.d.\ copies $φ^{1}, \dots, φ^{m}$ , that is, $\frac{1}{m} \sum_{j = 1}^{m} ∣ ⟨ φ^{j}, y ⟩ ∣^{p}$ . Our m…

math.NA2023

Hybrid Dealiased Convolutions

Robert Joseph George, Noel Murasko, John C. Bowman

This paper proposes a practical and efficient solution for computing convolutions using hybrid dealiasing. It offers an alternative to explicit or implicit dealiasing and includes…

math.NA2023★ 1 cited

Hybrid Dealiasing of Complex Convolutions

Noel Murasko, John C. Bowman

Efficient algorithms for computing linear convolutions based on the fast Fourier transform are developed. A hybrid approach is described that combines the conventional practice of…

Hybrid Dealiasing and Implicit Packing for Real Convolutions

Empirical Approximation of Lp​ Norms

Hybrid Dealiased Convolutions

Hybrid Dealiasing of Complex Convolutions

Empirical Approximation of $L_{p}$ Norms