@conference {18483,
	title = {Sound field decomposition using spherical microphone arrays},
	booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing, 2008. ICASSP 2008},
	year = {2008},
	month = {2008///},
	pages = {277 - 280},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {Spherical microphone arrays offer a number of attractive properties such as direction-independent acoustic behavior and ability to reconstruct the sound field in the vicinity of the array. Such ability is necessary in applications such as ambisonics and recreating auditory environment over headphones. We compare the performance of two scene reconstruction algorithms - one based on least-squares fitting the observed potentials and another based on computing the far-field signature function directly from the microphone measurements. A number of features important for the design and operation of spherical microphone arrays in real applications are revealed. Results indicate that it is possible to reconstruct the sound scene up to order p with p2 microphones.},
	keywords = {Acoustic applications, Acoustic arrays, Acoustic fields, acoustic position measurement, Acoustic propagation, acoustic signal processing, acoustic waves, array signal processing, Equations, far-field signature function, Layout, least-squares fitting, microphone arrays, scene reconstruction algorithms, Signal processing algorithms, sound field decomposition, spherical microphone arrays, Surface acoustic waves},
	isbn = {978-1-4244-1483-3},
	doi = {10.1109/ICASSP.2008.4517600},
	author = {Zotkin,Dmitry N and Duraiswami, Ramani and Gumerov, Nail A.}
}
