Sound level increase close to enclosure' boundaries

Deep Crisp Boundaries: From Boundaries to Higher-level Tasks

Edge detection has made significant progress with the help of deep Convolutional Networks (ConvNet). ConvNet based edge detectors approached human level performance on standard benchmarks. We provide a systematical study of these detector outputs, and show that they failed to accurately localize edges, which can be adversarial for tasks that require crisp edge inputs. In addition, we propose a ...

Sound equalization in a large region of a rectangular enclosure.

Approximate reconstruction of sound fields close to the surface of arbitrarily shaped sound sources using NAH

Investigations are presented on the reconstruction of the sound field close to the surface of arbitrarily shaped sound sources. The Nearfield Acoustical Holography (NAH) in spherical coordinates can be used for the reconstruction of sound field parameters. The applicability of the reconstruction method, however, is limited by the validity restrictions of the Rayleigh hypothesis, which are deter...

Rapid neural adaptation to sound level statistics.

Auditory neurons must represent accurately a wide range of sound levels using firing rates that vary over a far narrower range of levels. Recently, we demonstrated that this "dynamic range problem" is lessened by neural adaptation, whereby neurons adjust their input-output functions for sound level according to the prevailing distribution of levels. These adjustments in input-output functions i...

Close to close packing ∗

For various lattice gas models with nearest neighbour exclusion (and, in one case, second-nearest neighbour exclusion as well), we obtain lower bounds on m, the average number of particles on the non-excluded lattice sites closest ∗We dedicate this work to the memory of Ann Stell, beloved friend of OP and beloved wife of GS.