@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.}
}
@conference {14522,
	title = {Plane-wave decomposition analysis for spherical microphone arrays},
	booktitle = {IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2005},
	year = {2005},
	month = {2005/10//},
	pages = {150 - 153},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {Spherical microphone arrays have attracted attention for analyzing the sound field in a region and beamforming. The analysis of the recorded sound has been performed in terms of spherical wave-functions, and recently the use of plane-wave expansions has been suggested. We show that the plane-wave basis is intimately related to the spherical wave-functions. Reproduction in terms of both representations satisfies certain band-limit criteria. We provide an error bound that shows that to reproduce the spatial characteristics of a sound of a certain frequency we need to be able to accurately represent sounds of up to a particular order, which establishes a Nyquist-like criterion. The order of the sound field in turn is related to the number of microphones in the array necessary to achieve accurate quadrature on the sphere. These results are illustrated with simulations.},
	keywords = {Acoustic propagation, Acoustic scattering, acoustic signal processing, acoustic waves, array signal processing, band-limit criteria, beamforming, Educational institutions, Fourier transforms, Frequency, Laboratories, microphone arrays, Nails, Nyquist criterion, Nyquist-like criterion, Partial differential equations, plane-wave decomposition analysis, sound field analysis, spherical microphone arrays, spherical wave-functions},
	isbn = {0-7803-9154-3},
	doi = {10.1109/ASPAA.2005.1540191},
	author = {Duraiswami, Ramani and Zhiyun Li and Zotkin,Dmitry N and Grassi,E. and Gumerov, Nail A.}
}
