Lung sound localization using array of acoustic sensors
This paper presents a localization algorithm to detect lung sounds using a circular array of microphones. We use the natural basis functions of propagation waves in height invariant wavefields to form a spatial minimum variance (MV) problem in eigen space. We also derive a Nyquist criteria for localizing sources within a circular region. This Nyquist criteria shows that the radius of the region where sources can be localized is inversely proportional to the frequency of sound. The modified...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of International Conference on Signal Processing and Communication Systems (ICSPCS 2008)|
|01_Salehin_Lung_sound_localization_using_2008.pdf||138.79 kB||Adobe PDF||Request a copy|
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