Paley-Wiener Theorems and Uncertainty Principles for the Windowed Linear Canonical Transform

نویسندگان

  • Kit-Ian Kou
  • Yan-Hui Zhang
چکیده

In a recent paper the authors have introduced the windowed linear canonical transform and shown its good properties together with some applications such as Poisson summation formulas, sampling interpolation and series expansion. In this paper we prove the Paley-Wiener theorems and the uncertainty principles for the (inverse) windowed linear canonical transform. They are new in literature and has some consequences that are now under investigation. Copyright c 2009 John Wiley & Sons, Ltd.

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تاریخ انتشار 2011