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Sampling and Estimating the Waveform of Analog Signals Based on Precision Event Timing

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Abstract

In this paper, we investigate specific features of compressed sensing methods when estimating the waveform of arbitrary analog signals based on zero-crossings of a signal summed with a periodic oscillation. An algorithm for estimating the waveform of an analog signal with the adaptation of the basis matrix to its spectrum is proposed. To solve the problem of off-grid frequencies, we employ an iterative method for finding the maxima of the spectral peaks between the nodes of a DFT frequency grid.

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FUNDING

This work was supported by the European Regional Development Fund, project no. 1.1.1.1/16/A/174.

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Authors and Affiliations

  1. Institute of Electronics and Computer Science, ul. Dzerbenes 14, LV-1006, Riga, Latvia

    A. S. Rybakov

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  1. A. S. Rybakov
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Correspondence to A. S. Rybakov.

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Translated by Yu. Kornienko

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Rybakov, A.S. Sampling and Estimating the Waveform of Analog Signals Based on Precision Event Timing. Aut. Control Comp. Sci. 53, 107–115 (2019). https://doi.org/10.3103/S0146411619020056

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  • DOI: https://doi.org/10.3103/S0146411619020056

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