3D Visualization of Sound Fields Perceived by an Acoustic Camera

The paper summarizes the application results of a recently proposed neuro-fuzzy algorithm for multi-dimensional data clustering to 3-Dimensional (3D) visualization of dynamically perceived sound waves recorded by an acoustic camera. The main focus in the present work is on the developed signal processing algorithm adapted to the specificity of multidimensional data set recorded by the acoustic camera, as well as on the created software package for real-time visualization of the “observed” sound waves propagation.

Język:: Angielski

Częstotliwość wydawania:: 4 razy w roku
Dziedziny czasopisma:: Informatyka, Technologia informacyjna

Kanał RSS czasopisma

3D Visualization of Sound Fields Perceived by an Acoustic Camera

Nevena Popova

Georgi Shishkov

Petia Koprinkova-Hristova

Kiril Alexiev

Data publikacji: 19 sty 2016

Zakres stron: 45 - 57

DOI: https://doi.org/10.1515/cait-2015-0088

Słowa kluczoweAcoustic camera, multi-dimensional data, feature extraction, direction selective cells (MT neurons), Echo state network, fuzzy clustering

© 2015 Nevena Popova et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Słowa kluczowe
Acoustic camera, multi-dimensional data, feature extraction, direction selective cells (MT neurons), Echo state network, fuzzy clustering