Response clustering in loudspeaker radiation balloons

Catala Iborra VM. Response clustering in loudspeaker radiation balloons. In: AES Convention 151. Audio Engineering Society; 2021. Paper 10527. Available from: https://aes.org/publications/elibrary-page/?id=21491

@inproceedings{CatalaIborra2021_21491,
  author = {Catala Iborra, Victor Manuel},
  title = {{Response clustering in loudspeaker radiation balloons}},
  booktitle = {AES Convention 151},
  note = {Paper 10527},
  year = {2021},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=21491}
}

TY  - CPAPER
TI  - Response clustering in loudspeaker radiation balloons
AU  - Catala Iborra, Victor Manuel
T2  - AES Convention 151
M1  - Paper 10527
PY  - 2021
DA  - 2021/10/06
UR  - https://aes.org/publications/elibrary-page/?id=21491
PB  - Audio Engineering Society
LA  - en
AB  - The measurement of the radiation balloon of a loudspeaker involves the acquisition of 2664 responses when acquired with 5º resolution in Theta and Phi angles, each response with magnitude and phase at a high number of frequencies which depends on the measurement spectral resolution. This large amount of information causes, many times, that its analysis is limited to certain frequencies and to certain planes (horizontal and vertical polar plots or isobars). In order to help to investigate radiation balloons, unsupervised machine learning data analysis tools have been applied to automatically group the loudspeaker responses that conforms a full balloon measurement according to their similarity, in order to extract meaningful patterns. Similar algorithms have also been applied to reduce the number of involved frequencies, keeping the same radiation information.
ER  -