A modulo-based architecture for analog-to-digital conversion

Or Ordentlich*, Gizem Tabak, Pavan Kumar Hanumolu, Andrew C. Singer, Gregory W. Wornell

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

33 Scopus citations


Systems that capture and process analog signals must first acquire them through an analog-to-digital converter. While subsequent digital processing can remove statistical correlations present in the acquired data, the dynamic range of the converter is typically scaled to match that of the input analog signal. The present paper develops an approach for analog-to-digital conversion that aims at minimizing the number of bits per sample at the output of the converter. This is attained by reducing the dynamic range of the analog signal by performing a modulo operation on its amplitude, and then quantizing the result. While the converter itself is universal and agnostic of the statistics of the signal, the decoder operation on the output of the quantizer can exploit the statistical structure in order to unwrap the modulo folding. The performance of this method is shown to approach information theoretical limits, as captured by the rate-distortion function, in various settings. An architecture for modulo analog-to-digital conversion via ring oscillators is suggested, and its merits are numerically demonstrated.

Original languageAmerican English
Article number8425696
Pages (from-to)825-840
Number of pages16
JournalIEEE Journal on Selected Topics in Signal Processing
Issue number5
StatePublished - Oct 2018

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