Applications of Spatially Localized Active-Intensity Vectors for Sound-Field visualization

McCormack L, Delikaris-Manias S, Politis A, Pavlidi D, Farina A, Pinardi D, Pulkki V. Applications of Spatially Localized Active-Intensity Vectors for Sound-Field visualization. J Audio Eng Soc. 2019;67(11):840-854. doi:10.17743/jaes.2019.0041

@article{McCormack2019_20699,
  author = {McCormack, Leo and Delikaris-Manias, Symeon and Politis, Archontis and Pavlidi, Despoina and Farina, Angelo and Pinardi, Daniel and Pulkki, Ville},
  title = {{Applications of Spatially Localized Active-Intensity Vectors for Sound-Field visualization}},
  journal = {Journal of the Audio Engineering Society},
  volume = {67},
  number = {11},
  pages = {840--854},
  year = {2019},
  month = nov,
  publisher = {Audio Engineering Society},
  doi = {10.17743/jaes.2019.0041},
  url = {https://doi.org/10.17743/jaes.2019.0041}
}

TY  - JOUR
TI  - Applications of Spatially Localized Active-Intensity Vectors for Sound-Field visualization
AU  - McCormack, Leo
AU  - Delikaris-Manias, Symeon
AU  - Politis, Archontis
AU  - Pavlidi, Despoina
AU  - Farina, Angelo
AU  - Pinardi, Daniel
AU  - Pulkki, Ville
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 67
IS  - 11
SP  - 840
EP  - 854
PY  - 2019
DA  - 2019/11/06
DO  - 10.17743/jaes.2019.0041
UR  - https://doi.org/10.17743/jaes.2019.0041
PB  - Audio Engineering Society
LA  - en
AB  - This article details and evaluates three alternative approaches to sound-field visualization, which all employ the use of spatially-localized active-intensity (SLAI) vectors. SLAI vectors are particularly interesting as they allow direction-of-arrival (DoA) estimates to be extracted in multiple spatially-localized sectors, such that sound sources and/or noise present in one sector has reduced influence on the DoA estimate made in the other sectors. These DoA estimates may then be used to visualize the sound-field by either: i) directly depicting the estimates as icons, with their relative size dictated by the corresponding energy of each sector; ii) generating traditional activity-maps via histogram analysis of the DoA estimates; or iii) by using the DoA estimates to re-assign energy and subsequently sharpen traditional beamformer-based activity-maps. Since SLAI-based DoA estimates are continuous, these approaches are inherently computationally efficient, as they forgo the need for dense scanning grids to attain high-resolution imaging.
ER  -