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<p>A novel level-crossing (LC) algorithm, termed <i>reduced</i> LC (RLC) sampling, is presented that mitigates the effect of oversampling in LC analogue-to-digital converters. Unlike algorithms that modify bit-depth to control oversampling, RLC uses a simple rate modification method that can be implemented using minor additional circuitry. Additionally, a new signal reconstruction method is developed that guarantees stable reconstruction from a sparse sample set. Jointly, these algorithms enable alias-free signal reconstruction when sample rates are well below the Nyquist limit.</p>

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Efficient Signal Recovery from Level Crossing Sampling Method

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年4月2日

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  • Negar Riazifar,
  • Nigel G. Stocks

摘要

A novel level-crossing (LC) algorithm, termed reduced LC (RLC) sampling, is presented that mitigates the effect of oversampling in LC analogue-to-digital converters. Unlike algorithms that modify bit-depth to control oversampling, RLC uses a simple rate modification method that can be implemented using minor additional circuitry. Additionally, a new signal reconstruction method is developed that guarantees stable reconstruction from a sparse sample set. Jointly, these algorithms enable alias-free signal reconstruction when sample rates are well below the Nyquist limit.