<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></abstract>

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.

3D Visualization of Sound Fields Perceived by an Acoustic Camera

Institute of Information and Communication Technologies, BAS, 1113 Sofia, Bulgaria

Cybernetics and Information Technologies

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

{"article-title":"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)...

3D Visualization of Sound Fields Perceived by an Acoustic Camera

Pubblicato online: 19 gen 2016

Pagine: 45 - 57

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

Parole chiave
Acoustic 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.

3D Visualization of Sound Fields Perceived by an Acoustic Camera

Pubblicato online: 19 gen 2016

Pagine: 45 - 57

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

Parole chiaveAcoustic 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.

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