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Mathematical Background

  • Boaz RafaelyEmail author
Chapter
  • 1.5k Downloads
Part of the Springer Topics in Signal Processing book series (STSP, volume 8)

Abstract

This chapter provides the mathematical background necessary for studying spherical array processing. Spherical arrays typically sample functions on a sphere (e.g. sound pressure); therefore, this chapter begins by presenting the spherical coordinate system as well as some examples of functions on the sphere. Spherical harmonics are a central theme of this book as they form a basis for representing functions on the sphere. Therefore, spherical harmonics are first defined and illustrated, and then an introduction to the spherical Fourier transform and a description of functions on the sphere in Hilbert space follows. The chapter concludes with a presentation of the topics of rotation, convolution , and correlation defined for functions on the sphere.

Keywords

Unit Sphere Spherical Harmonic Dirac Delta Function Legendre Function Spherical Harmonic Coefficient 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.Department of Electrical and Computer EngineeringBen-Gurion University of the NegevBeer-shevaIsrael

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