@conference {13969,
	title = {Plane-wave decomposition of a sound scene using a cylindrical microphone array},
	booktitle = {Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on},
	year = {2009},
	month = {2009/04//},
	pages = {85 - 88},
	abstract = {The analysis for microphone arrays formed by mounting microphones on a sound-hard spherical or cylindrical baffle is typically performed using a decomposition of the sound field in terms of orthogonal basis functions. An alternative representation in terms of plane waves and a method for obtaining the coefficients of such a representation directly from measurements was proposed recently for the case of a spherical array. It was shown that representing the field as a collection of plane waves arriving from various directions simplifies both source localization and beamforming. In this paper, these results are extended to the case of the cylindrical array. Similarly to the spherical array case, localization and beamforming based on plane-wave decomposition perform as well as the traditional orthogonal function based methods while being numerically more stable. Both simulated and experimental results are presented.},
	keywords = {array;plane, arrays;, baffle;cylindrical, beamforming;cylindrical, decomposition;sound-hard, localization;array, microphone, plane-wave, processing;microphone, scene, signal, spherical;source, waves;sound},
	doi = {10.1109/ICASSP.2009.4959526},
	author = {Zotkin,Dmitry N and Duraiswami, Ramani}
}
@conference {13980,
	title = {Spherical Arrays Near Boundaries},
	booktitle = {Hands-Free Speech Communication and Microphone Arrays, 2008. HSCMA 2008},
	year = {2008},
	month = {2008/05//},
	pages = {1 - 1},
	abstract = {Summary form only given. Solid spherical microphone arrays are beginning to be used for purposes such as beamforming, sound field capture and as audio cameras. They rely on the scattering of sound off their surface to achieve their purpose. This behavior is significantly affected in the presence of boundaries (floors, walls, ceilings), and the edges and corners they form. Algorithms designed for array analysis in a free field will work erroneously in this situation. We describe adaptation of the spherical microphone analysis algorithms to constructively use the scattering off the boundaries to significantly improve array performance. We also assess the influence of walls on beamforming algorithms for regular spherical arrays. Both synthetic and experimental results are presented.},
	keywords = {analysis;audio, analysis;microphone, array, arrays;, arrays;sound, arrays;spherical, cameras;beamforming;solid, capture;spherical, field, microphone, spherical},
	doi = {10.1109/HSCMA.2008.4538675},
	author = {Duraiswami, Ramani and Gumerov, Nail A. and O{\textquoteright}Donovan,A.}
}
@article {13995,
	title = {Flexible and Optimal Design of Spherical Microphone Arrays for Beamforming},
	journal = {Audio, Speech, and Language Processing, IEEE Transactions on},
	volume = {15},
	year = {2007},
	month = {2007/02//},
	pages = {702 - 714},
	abstract = {This paper describes a methodology for designing a flexible and optimal spherical microphone array for beamforming. Using the approach presented, a spherical microphone array can have very flexible layouts of microphones on the spherical surface, yet optimally approximate a desired beampattern of higher order within a specified robustness constraint. Depending on the specified beampattern order, our approach automatically achieves optimal performances in two cases: when the specified beampattern order is reachable within the robustness constraint we achieve a beamformer with optimal approximation of the desired beampattern; otherwise we achieve a beamformer with maximum directivity, both robustly. For efficient implementation, we also developed an adaptive algorithm for computing the beamformer weights. It converges to the optimal performance quickly while exactly satisfying the specified frequency response and robustness constraint in each step. One application of the method is to allow the building of a real-world system, where microphones may not be placeable on regions, such as near cable outlets and/or a mounting base, while having a minimal effect on the performance. Simulation results are presented},
	keywords = {adaptive, algorithm;beamforming;beampattern;frequency, arrays;, arrays;acoustic, directivity;optimal, microphone, processing;array, processing;microphone, response;maximum, signal, spherical},
	isbn = {1558-7916},
	doi = {10.1109/TASL.2006.876764},
	author = {Li,Z. and Duraiswami, Ramani}
}
@conference {14025,
	title = {A robust and self-reconfigurable design of spherical microphone array for multi-resolution beamforming},
	booktitle = {Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP {\textquoteright}05). IEEE International Conference on},
	volume = {4},
	year = {2005},
	month = {2005/03//},
	pages = {iv/1137 - iv/1140 Vol. 4 - iv/1137 - iv/1140 Vol. 4},
	abstract = {We describe a robust and self-reconfigurable design of a spherical microphone array for beamforming. Our approach achieves a multi-resolution spherical beamformer with performance that is either optimal in the approximation of desired beampattern or is optimal in the directivity achieved, both robustly. Our implementation converges to the optimal performance quickly while exactly satisfying the specified frequency response and robustness constraint in each iteration step without accumulated round-off errors. The advantage of this design lies in its robustness and self-reconfiguration in microphone array reorganization, such as microphone failure, which is highly desirable in online maintenance and anti-terrorism. Design examples and simulation results are presented.},
	keywords = {3D, anti-terrorism;, array, array;, arrays;, audio, beam, beamforming;, beampattern, directivity, Frequency, microphone, multiresolution, omnidirectional, optimisation;, optimization;, processing;, reorganization, response;, robustness;, sampling;, self-reconfigurable, signal, soundfield, spherical, steering;},
	doi = {10.1109/ICASSP.2005.1416214},
	author = {Zhiyun Li and Duraiswami, Ramani}
}
@conference {13211,
	title = {A spherical microphone array system for traffic scene analysis},
	booktitle = {Intelligent Transportation Systems, 2004. Proceedings. The 7th International IEEE Conference on},
	year = {2004},
	month = {2004/10//},
	pages = {338 - 342},
	abstract = {This paper describes a practical spherical microphone array system for traffic auditory scene capture and analysis. Our system uses 60 microphones positioned on the rigid surface of a sphere. We then propose an optimal design of a robust spherical beamformer with minimum white noise gain (WNG) of -6 dB. We test this system in a real-world traffic environment. Some preliminary simulation and experimental results are presented to demonstrate its performance. This system may also find applications in broader areas such as 3D audio, virtual environment, etc.},
	keywords = {-6, 3D, analysis;, array, arrays;, audio;, auditory, beamformer;, capture;, dB;, environment;, gain;, microphone, NOISE, noise;, processing;, real, robust, scene, signal, spherical, system;, traffic, traffic;, virtual, white, World},
	doi = {10.1109/ITSC.2004.1398921},
	author = {Zhiyun Li and Duraiswami, Ramani and Grassi,E. and Davis, Larry S.}
}
