Jarrett DP, Habets E, Naylor PA (2017)
Publication Type: Book chapter / Article in edited volumes
Publication year: 2017
Publisher: Springer Science and Business Media B.V.
Edited Volumes: Theory and Applications of Spherical Microphone Array Processing
Series: Springer Topics in Signal Processing
City/Town: Cham
Book Volume: 9
Pages Range: 23-37
ISBN: 978-3-319-82525-0
DOI: 10.1007/978-3-319-42211-4_3
This chapter examines issues relating to spatial signal acquisition and transformation. Many publications that propose algorithms for parameter estimation or signal enhancement purposes begin from the outset using signals in either or both of the time-frequency and spherical harmonic domains. One aim of the current chapter is to provide some of the algorithmic details necessary to process signals directly from the microphones, which will then enable subsequent spherical harmonic domain processing to be applied. In addition, we present a number of spatial sampling schemes, which determine the placement of microphones on the sphere such that spatial aliasing is minimized, and we discuss the advantages and disadvantages of two common array types: the open and rigid arrays with omnidirectional microphones.
APA:
Jarrett, D.P., Habets, E., & Naylor, P.A. (2017). Spatial sampling and signal transformation. In Daniel P. Jarrett, Emanuël A.P. Habets, Patrick A. Naylor (Eds.), Theory and Applications of Spherical Microphone Array Processing. (pp. 23-37). Cham: Springer Science and Business Media B.V..
MLA:
Jarrett, Daniel P., Emanuël Habets, and Patrick A. Naylor. "Spatial sampling and signal transformation." Theory and Applications of Spherical Microphone Array Processing. Ed. Daniel P. Jarrett, Emanuël A.P. Habets, Patrick A. Naylor, Cham: Springer Science and Business Media B.V., 2017. 23-37.
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