High Dynamic Range Sensing Using Multi-Channel Modulo Samplers
ID:76 View Protection:ATTENDEE Updated Time:2020-08-05 10:17:00 Hits:461 Oral Presentation

Start Time:2020-06-09 14:20(Asia/Shanghai)


Session:R Regular Session » R04Computational and Optimization Techniques for Multi-Channel Processing

Video No Permission

Tips: Only the registered participant can access the file. Please sign in first.

We consider the problem of recovering a band-limited signal from multi-channel modulo folded measurements. The study is motivated by the recent advances of self-reset analog-to-digital converters (SR-ADCs) for high dynamic range digitization. Most of existing works focus on single-channel SR-ADC, which requires high sampling rate and the reconstruction could be very unstable at low signal to noise ratio. To our best knowledge, this is the first work that studies multi-channel SR-ADC systems. In the noiseless case, we show that perfect reconstruction can be achieved using only 2 channels, each of which samples at Nyquist rate. For noisy measurements, we develop a lattice-based optimization for stable reconstruction. Simulation results are presented to demonstrate the effectiveness of the proposed algorithms.
Analog-to-digital conversion (ADC); Bandlimited signals; Modulo samplers; Chinese reminder theorem; Lattice theory
Lu Gan
Brunel University, United Kingdom (Great Britain)

Submission Author
Lu Gan Brunel University, United Kingdom (Great Britain)
Hongqing Liu Chongqing University of Posts and Telecommunications, China
Submit Comment
Verify Code Change Another
All Comments
Important Date
  • Conference Date

    Jun 08



    Jun 11


  • Jan 12 2020

    Draft paper submission deadline

  • Apr 15 2020

    Early Bird Registration

  • Dec 31 2020

    Registration deadline

Sponsored By
IEEE Signal Processing Society
Contact Information