Computable Fourier conditions for alias-free sampling and critical sampling.

Citation:

Y. M. Lu, M. N. Do, and R. Laugesen, “Computable Fourier conditions for alias-free sampling and critical sampling.” in Proc. Int. Conf. Sampling Theory and applications (SampTA), Marseille, France, 2009.

Abstract:

We propose a Fourier analytical approach to the problems of alias-free sampling and critical sampling. Central to this approach are two Fourier conditions linking the above sam- pling criteria with the Fourier transform of the indicator function defined on the underlying frequency support. We present several examples to demonstrate the usefulness of the proposed Fourier conditions in the design of critically sampled multidimensional filter banks. In particular, we show that it is impossible to implement any cone-shaped fre- quency partitioning by a nonredundant filter bank, except for the 2-D case.

Last updated on 01/02/2012