Sampling theorem and multi-scale spectrum based on non-linear Fourier atoms

Abstract

This study concerns some new developments of unit analytic signals with non-linear phase. It includes ladder-shaped filter, generalized Sinc function based on non-linear Fourier atoms, generalized sampling theorem for non-bandlimited signals and the notion of multi-scale spectrum for discrete sequences. We first introduce the ladder-shaped filter and show that the impulse response of its corresponding linear time-shift invariant system is the generalized Sinc function as a product of periodic Poisson kernel and Sinc function. Secondly, we establish a Shannon-type sampling theorem based on generalized Sinc function for this type of non-bandlimited signal. We further prove that this type of signal may be holomorphically extended to strips in the complex plane containing the real axis. Finally, we introduce the notion of multi-scale spectrums for discrete sequences and develop the related fast algorithm.

Keywords:

• Shannon sampling
• Fourier atoms
• Sinc function
• Moebius transform

Acknowledgement

This work was supported in part by the National Research Foundation for the Doctoral Program of Higher Education of China (SRFDP) under grant 20070512001 and by research grant of the University of Macau No. RG092/04-05S/C118/QT/FST and Macao Sci. and Tech. Develop. Fund 051/2005/A.