Spatial sampling and signal transformation

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

Abstract

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.

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How to cite

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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