Fourier transforms

Klaus Gürlebeck, Klaus Habetha and Wolfgang Sprößig
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Klaus Gürlebeck: Bauhaus-Universität Weimar
Klaus Habetha: RWTH Aachen
Wolfgang Sprößig: TU Bergakademie Freiberg

Chapter Chapter 11 in Application of Holomorphic Functions in Two and Higher Dimensions, 2016, pp 329-359 from Springer

Abstract: Abstract Hypercomplex Fourier transforms, i.e., quaternion, Clifford, and geometric algebra Fourier transforms (QFT, CFT, GAFT) [50,145,147,154] have proven very useful tools for applications in fields like non-marginal color image processing, image diffusion, electromagnetism, multi-channel processing, vector field processing, shape representation, linear scale-invariant filtering, fast vector pattern matching, phase correlation, analysis of non-stationary improper complex signals, flow analysis, partial differential systems, disparity estimation, texture segmentation, as well as spectral representations for Clifford wavelet analysis, etc..

Keywords: Fourier Transform; Dirac Operator; Chebyshev Polynomial; Geometric Algebra; Texture Segmentation (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/978-3-0348-0964-1_11

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