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Pablo Mart'inez-Nuevo

4 papers hereh-index 299 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.SP3
  • cs.SD1
same name
  • Pablo Mart'inez-Nuevo — 2 papers, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192021
most citedAn Image Source Method Framework for Arbitrary Reflecting Boundaries

1 citations · 1 across the 2 of their papers we have counts for

collaborators

4 papers

eess.SP2021

Nonuniform Sampling Rate Conversion: An Efficient Approach

Pablo Martínez-Nuevo

We present a discrete-time algorithm for nonuniform sampling rate conversion that presents low computational complexity and memory requirements. It generalizes arbitrary sampling r…

eess.SP2020

Extrapolation of Bandlimited Multidimensional Signals from Continuous Measurements

Cornelius Frankenbach, Pablo Martínez-Nuevo, Martin Møller +1

Conventional sampling and interpolation commonly rely on discrete measurements. In this paper, we develop a theoretical framework for extrapolation of signals in higher dimensions…

cs.SD2020

Sound field reconstruction in rooms: inpainting meets super-resolution

Francesc Lluís, Pablo Martínez-Nuevo, Martin Bo Møller +1

In this paper, a deep-learning-based method for sound field reconstruction is proposed. It is shown the possibility to reconstruct the magnitude of the sound pressure in the freque…

eess.SP2019★ 1 cited

An Image Source Method Framework for Arbitrary Reflecting Boundaries

Pierre Quinton, Pablo Martínez-Nuevo, Martin B. Møller

We propose a theoretical framework for the image source method that generalizes to arbitrary reflecting boundaries, e.g. boundaries that are curved or even with certain openings. F…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.