mlsanityData to 14 Oct 2026

Dequantization of a signal from two parallel quantized observations

arXiv 2409.08071 ↗First posted 12 Sep 2024eess.SPcited by 0

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Abstract (arXiv)

We propose a technique of signal acquisition using a combination of two devices with different sampling rates and quantization accuracies. Subsequent processing involving sparsity regularization enables us to reconstruct the signal at such a sampling frequency and with such a bit depth that was not possible using the two devices independently. Objective and subjective tests show the superiority of the proposed method in comparison with alternatives.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 23 references that are in the map. First posted on arXiv 12 Sep 2024.

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3 of 23 references.

References · 3

  1. 2020Audio Dequantization for High Fidelity Audio Generation in Flow-based Neural Vocodercited by 5
  2. 2018Sparse Recovery and Dictionary Learning from Nonlinear Compressive Measurementscited by 4
  3. 2020Audio Dequantization Using (Co)Sparse (Non)Convex Methodscited by 1

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  3. 2022Signal Reconstruction from Quantized Noisy Samples of the Discrete Fourier Transform
  4. 2023HDR Imaging With One-Bit Quantization
  5. 2023One-Bit Quadratic Compressed Sensing: From Sample Abundance to Linear Feasibility
  6. 2022Improved Support Recovery in Universal One-bit Compressed Sensing
  7. 2026DOA Estimation from One-Bit Magnitude-Only Measurements via Sign-Consistency Optimization
  8. 2022Approximate Message Passing with Parameter Estimation for Heavily Quantized Measurements