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Systematization and Comparison of the Binary Successive Approximation Variants.

Konrad Jurasz1, Dariusz Kościelnik1, Jakub Szyduczyński1

  • 1Department of Electronics, AGH University of Science and Technology, 30-059 Kraków, Poland.

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|December 28, 2021
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Summary

This study compares binary successive approximation (SA) variants for analog-to-digital conversion, highlighting their impact on conversion processes and direct time interval measurement. Implementation complexity and energy consumption are also analyzed.

Keywords:
analog-to-digital conversionsuccessive-approximationtime-to-digital conversion

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Area of Science:

  • Electrical Engineering
  • Signal Processing

Background:

  • Successive Approximation (SA) is a key algorithm in analog-to-digital converters (ADCs).
  • Different binary SA variants exist, each with unique characteristics impacting conversion performance.

Purpose of the Study:

  • To systematize and compare different binary successive approximation (SA) variants.
  • To analyze the influence of SA variants on analog-to-digital conversion processes.
  • To investigate the direct conversion of physical quantities like time intervals using SA variants.

Main Methods:

  • Systematization and classification of binary SA variants.
  • Comparative analysis of selected SA variants in analog-to-digital conversion (ADC) applications.
  • Evaluation of implementation complexity and energy consumption for each variant.

Main Results:

  • Three distinct binary SA variants were identified and systematized.
  • The choice of SA variant significantly affects the conversion process and parameters.
  • Direct conversion of time intervals is feasible with specific SA variants.
  • Implementation complexity and energy consumption vary across the SA variants.

Conclusions:

  • A clear systematization and naming convention for binary SA variants are proposed.
  • SA variant selection is critical for optimizing ADC performance, including direct measurement capabilities.
  • Trade-offs between implementation complexity, energy efficiency, and conversion characteristics must be considered.