Task-Based Analog-to-Digital Converters for Bandlimited Systems

Peter Neuhaus, Nir Shlezinger, Meik Dörpinghaus, Yonina C. Eldar, Gerhard Fettweis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations


Acquiring digital representations of multivariate continuous-time (CT) signals is a challenge encountered in many signal processing systems. In practice, these signals are often obtained in order to extract some underlying information, i.e., for a specific task. Employing conventional task-agnostic analog-to-digital converters (ADCs) can be inefficient in such cases. In this work, we study task-based ADCs designed to obtain a digital representation of a multivariate CT input process to recover an underlying random parameter vector, referred to as the task. The proposed system employs analog filtering, uniform sampling, and scalar uniform quantization of the input process before recovering the task vector using a linear filter. We optimize the analog and digital filters and derive closed-form expressions for the achievable MSE in recovering a task vector from a set of bandlimited signals when utilizing a fixed quantizer resolution and sampling rate satisfying the Shannon-Nyquist sampling theorem. Guidelines for the design of practical acquisition systems are obtained from the structure of the MSE minimizing analog filter. Our numerical results, which consider the recovery of a set of matched filter outputs under a rate budget, demonstrate that the proposed approach substantially outperforms both, implementing the matched filter solely in the analog or digital domain.

Original languageEnglish
Title of host publication29th European Signal Processing Conference, EUSIPCO 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers
Number of pages5
ISBN (Electronic)9789082797060
StatePublished - 8 Dec 2021
Event29th European Signal Processing Conference, EUSIPCO 2021 - Dublin, Ireland
Duration: 23 Aug 202127 Aug 2021

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491


Conference29th European Signal Processing Conference, EUSIPCO 2021


  • Analog-to-digital converter
  • Estimation
  • Quantization
  • Sampling

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering


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