Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Nuevo, Pablo"'
Having knowledge on the room acoustic properties, e.g., the location of acoustic reflectors, allows to better reproduce the sound field as intended. Current state-of-the-art methods for room boundary detection using microphone measurements typically
Externí odkaz:
http://arxiv.org/abs/2206.03885
Autor:
Martínez-Nuevo, Pablo
We present a discrete-time algorithm for nonuniform sampling rate conversion that presents low computational complexity and memory requirements. It generalizes arbitrary sampling rate conversion by accommodating time-varying conversion ratios, i.e.,
Externí odkaz:
http://arxiv.org/abs/2105.06700
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 within the room. Acquisition of sound fields for sound sources located
Externí odkaz:
http://arxiv.org/abs/2102.06455
Conventional sampling and interpolation commonly rely on discrete measurements. In this paper, we develop a theoretical framework for extrapolation of signals in higher dimensions from knowledge of the continuous waveform on bounded high-dimensional
Externí odkaz:
http://arxiv.org/abs/2008.00026
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 can, in principle, be used to improve the accuracy of the reproduction.
Externí odkaz:
http://arxiv.org/abs/2003.01117
Publikováno v:
The Journal of the Acoustical Society of America 148, 649 (2020)
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 frequency band 30-300 Hz for an entire room by using a very low number of ir
Externí odkaz:
http://arxiv.org/abs/2001.11263
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. Furthermore, it can seamlessly incorporate boundary absorption, source
Externí odkaz:
http://arxiv.org/abs/1906.12227
Autor:
Zhu, Ye, Shepstone, Sven Ewan, Martínez-Nuevo, Pablo, Kristoffersen, Miklas Strøm, Moutarde, Fabien, Fu, Zhuang
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 challenging benchmarks, such as 3D shape recognition and scene semantic segm
Externí odkaz:
http://arxiv.org/abs/1812.01712
The theoretical basis for conventional acquisition of bandlimited signals typically relies on uniform time sampling and assumes infinite-precision amplitude values. In this paper, we explore signal representation and recovery based on uniform amplitu
Externí odkaz:
http://arxiv.org/abs/1802.04672
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 incorporates quantization both in amplitude and time, i.e. amplitude
Externí odkaz:
http://arxiv.org/abs/1802.04634