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Recovery of an Analytical Signal Distorted by First-Order Aliasing
Authors
	Lesnikov V.A.
	Naumovich T.V.
	Chastikov A.V.
Date of publication
	2020
DOI
	10.31114/2078-7707-2020-3-194-200
Abstract
	This paper relates to one of the areas of digital signal processing in a wide frequency band based on the use of undersampling. In this case, the sampling rate is less than the Nyquist-Shannon sampling theorem requires. In this direction, compressed sampling methods are intensively used, based on the fact that the sampling theorem formulates sufficient requirements for the sampling frequency, which in some cases are not necessary. Very often, these methods use random sampling. Our article uses deterministic undersampling. Undersampling results in aliasing that distorts the signals. Known signal restoration methods based on multi-channel processing. At the same time, the channels carry out preliminary analog signal processing with subsequent undersampling with a single-frequency frequency in all channels. The proposed approach is based on the rejection of preliminary analog processing in the channels, but the frequency of the undersampling in different channels is different. Next, the integration of the processing results in the channels for signal restoration is carried out.
Keywords
	subnyquist sampling, first-order aliasing, restoration of a signal distorted by aliasing, analytical signal, two-channel two-rate sampling.
Library reference
	Lesnikov V.A., Naumovich T.V., Chastikov A.V. Recovery of an Analytical Signal Distorted by First-Order Aliasing // Problems of Perspective Micro- and Nanoelectronic Systems Development - 2020. Issue 3. P. 194-200. doi:10.31114/2078-7707-2020-3-194-200
URL of paper
	http://www.mes-conference.ru/data/year2020/pdf/D079.pdf