activity
20182021
most citedDeep Sound Field Reconstruction in Real Rooms: Introducing the ISOBEL Sound Field Dataset

11 citations · 25 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SD2021★ 11 cited

Deep Sound Field Reconstruction in Real Rooms: Introducing the ISOBEL Sound Field Dataset

Miklas Strøm Kristoffersen, Martin Bo Møller, Pablo Martínez-Nuevo +1

Knowledge of loudspeaker responses are useful in a number of applications, where a sound system is located inside a room that alters the listening experience depending on position…

eess.AS2020

Inferring the location of reflecting surfaces exploiting loudspeaker directivity

Vincenzo Zaccà, Pablo Martinez-Nuevo, Martin Møller +2

Accurate sound field reproduction in rooms is often limited by the lack of knowledge of the room characteristics. Information about the room shape or nearby reflecting boundaries c…

cs.CV2018★ 4 cited

Multiview Based 3D Scene Understanding On Partial Point Sets

Ye Zhu, Sven Ewan Shepstone, Pablo Martínez-Nuevo +3

Deep learning within the context of point clouds has gained much research interest in recent years mostly due to the promising results that have been achieved on a number of challe…

eess.SP2018★ 9 cited

Delta-Ramp Encoder for Amplitude Sampling and its Interpretation as Time Encoding

Pablo Martínez-Nuevo, Hsin-Yu Lai, Alan V. Oppenheim

The theoretical basis for conventional acquisition of bandlimited signals typically relies on uniform time sampling and assumes infinite-precision amplitude values. In this paper,…

eess.SP2018★ 1 cited

Lattice Functions for the Analysis of Analog-to-Digital Conversion

Pablo Martínez-Nuevo, Alan. V. Oppenheim

Analog-to-digital (A/D) converters are the common interface between analog signals and the domain of digital discrete-time signal processing. In essence, this domain simultaneously…