A Blind Reconstruction Algorithm for Level-Crossing Analog-to-Digital Conversion
Résumé
Many techniques have been developed for spectral analysis and reconstruction of an analog-signal based on a nonuniform set of samples. But, to the best of our knowledge, none is specifically adapted to Level-Crossing Analog-to-Digital Converters (LC-ADC). We propose in this article a reconstruction algorithm that takes advantage of the intrinsic quantification of the LC-ADC samples amplitudes to dramatically minimize the stability requirements of the analog levels and improve the converter global accuracy and resolution. We show in particular that spectral analysis is possible even if the levels amplitudes are unknown: they can be blindly estimated, jointly with the signal spectrum, up to harmless indeterminations of scale and offset. Simulations on synthetic signals demonstrate that the proposed algorithm outperforms the existing techniques.
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