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Modular multi-channel data acquisition systems

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Abstract

A flexible approach to complexity-reduced multi-channel data acquisition from a large quantity of sensors, essential for connecting computers with real world objects, is discussed and the obtained experience in this area is summarized. Data acquisition from wideband, event timing, and large distributed clusters of signal sources are discussed with emphasis on methods and algorithms providing for data gathering from large sensor systems. We discuss special signal digitizing techniques, including pseudorandomized multiplexing, time-to-digital conversions, and signal sample value-taking at time instants when the input signal crosses a sinusoidal reference function. The versatility of the data acquisition systems is achieved by using modular system design. To achieve the maximum from the suggested data acquisition technology, the acquired data processing is based on the theory of digital alias-free signal processing.

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Authors and Affiliations

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

    Y. Artyukh, I. Bilinskis, A. Rybakov, K. Sudars & V. Vedin

Authors
  1. Y. Artyukh
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  2. I. Bilinskis
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  3. A. Rybakov
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  4. K. Sudars
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  5. V. Vedin
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Corresponding author

Correspondence to I. Bilinskis.

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The text was submitted by the authors in English.

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Artyukh, Y., Bilinskis, I., Rybakov, A. et al. Modular multi-channel data acquisition systems. Aut. Conrol Comp. Sci. 42, 113–119 (2008). https://doi.org/10.3103/S0146411608030012

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  • DOI: https://doi.org/10.3103/S0146411608030012

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