Pseudo-Fourier Transform

نویسندگان

  • Martina Daňková
  • Ivana Štajner-Papuga
  • Barnabás Bede
چکیده

In signal processing applications, a key role is played by the Fourier transforms. The mathematical structure underlying Fourier analysis is the linear structure. In the present paper we propose and study a tool designed for nonlinear signal and image processing, that is novel Fourier-like transforms, based on a pair of pseudo-operations consisting of a uninorm and an absorbing norm. We analyse in the present paper theoretical properties of the proposed pseudo-Fourier transform.

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تاریخ انتشار 2006