Reconstruction of Undersampled Analitic Signals under First Order Aliasing
Vladislav A. Lesnikov, Tatiana V. Naumovich, Alexander V. Chastikov · 2020
One of the techniques for processing signals in a wide frequency band is sub-Nyquist sampling, which reduces the performance requirements of the equipment. In this case, the effect of aliasing takes place. The paper proposes an approach to eliminate the distortion caused by aliasing. For these purposes, multi-channel multi-rate processing is used. It lies in the fact that the processing of the same signal is carried out in several channels. In different channels, sampling is performed at different sampling frequencies, each of which does not satisfy the Nyquist–Shannon sampling theorem. The paper deals with the processing of analytic signals. Since the article is limited to first-order aliasing, the number of channels is two.