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Found 6 papers, 1 papers with code
On the Integration of Acoustics and LiDAR: a Multi-Modal Approach to Acoustic Reflector Estimation
In the proposed method, a LiDAR sensor is added to a loudspeaker to improve wall detection accuracy and robustness.
Nonuniform Sampling Rate Conversion: An Efficient Approach
We present a discrete-time algorithm for nonuniform sampling rate conversion that presents low computational complexity and memory requirements.
Deep Sound Field Reconstruction in Real Rooms: Introducing the ISOBEL Sound Field Dataset
Moreover, the paper advances on a recent deep learning-based method for sound field reconstruction using a very low number of microphones, and proposes an approach for modeling both magnitude and phase response in a U-Net-like neural network architecture.
Extrapolation of Bandlimited Multidimensional Signals from Continuous Measurements
In particular, we propose an iterative method to reconstruct bandlimited multidimensional signals based on truncated versions of the original signal to bounded regions---herein referred to as continuous measurements.
Sound field reconstruction in rooms: inpainting meets super-resolution
In particular, the presented approach uses a limited number of arbitrary discrete measurements of the magnitude of the sound field pressure in order to extrapolate this field to a higher-resolution grid of discrete points in space with a low computational complexity.
Multiview Based 3D Scene Understanding On Partial Point Sets
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 segmentation.
