H. A. Sánchez-Hevia, I. Mohino-Herranz, R. Gil-Pita, and M. Rosa-Zurera, “Memory Requirements Reduction Technique for Delay Storage in Real Time Acoustic Cameras,” in Proc. AES Convention 136, Apr. 2014, Paper 9031. [Online]. Available: https://aes.org/publications/elibrary-page/?id=17178
Sánchez-Hevia HA, Mohino-Herranz I, Gil-Pita R, Rosa-Zurera M. Memory Requirements Reduction Technique for Delay Storage in Real Time Acoustic Cameras. In: AES Convention 136. Audio Engineering Society; 2014. Paper 9031. Available from: https://aes.org/publications/elibrary-page/?id=17178
@inproceedings{SanchezHevia2014_17178,
author = {Sánchez-Hevia, Héctor A. and Mohino-Herranz, Inma and Gil-Pita, Roberto and Rosa-Zurera, Manuel},
title = {{Memory Requirements Reduction Technique for Delay Storage in Real Time Acoustic Cameras}},
booktitle = {AES Convention 136},
note = {Paper 9031},
year = {2014},
month = apr,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=17178}
}
TY - CPAPER
TI - Memory Requirements Reduction Technique for Delay Storage in Real Time Acoustic Cameras
AU - Sánchez-Hevia, Héctor A.
AU - Mohino-Herranz, Inma
AU - Gil-Pita, Roberto
AU - Rosa-Zurera, Manuel
T2 - AES Convention 136
M1 - Paper 9031
PY - 2014
DA - 2014/04/06
UR - https://aes.org/publications/elibrary-page/?id=17178
PB - Audio Engineering Society
LA - en
AB - Acoustic cameras are devices capable of displaying a visual representation of sound waves. Typically these devices relay on delay-based techniques, such as Delay and Sum Beamforming, being the calculation of the proper delay values a key component of the system. For real-time systems with a large amount of microphones it is not practical to perform such calculation being common to go for an offline strategy in which the pre-calculated values are stored in memory, allowing a faster dispatch of the data while increasing memory requirements. In this paper we present a technique for delay storage optimization based on various symmetries found within the pre-calculated values that allow a reduction up to almost 16 times over the initial memory requirements.
ER -