mlsanityData to 7 Oct 2026

ADMM-DAD net: a deep unfolding network for analysis compressed sensing

arXiv 2110.06986 ↗First posted 13 Oct 2021cs.IT cs.CV cs.IRcited by 8

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Abstract (arXiv)

In this paper, we propose a new deep unfolding neural network based on the ADMM algorithm for analysis Compressed Sensing. The proposed network jointly learns a redundant analysis operator for sparsification and reconstructs the signal of interest. We compare our proposed network with a state-of-the-art unfolded ISTA decoder, that also learns an orthogonal sparsifier. Moreover, we consider not only image, but also speech datasets as test examples. Computational experiments demonstrate that our proposed network outperforms the state-of-the-art deep unfolding network, consistently for both real-world image and speech datasets.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 8 of its 25 references that are in the map. First posted on arXiv 13 Oct 2021.

Builds on

8 of 25 references.

References · 8

  1. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  2. 2018Speech Commands: A Dataset for Limited-Vocabulary Speech Recognitioncited by 741
  3. 2020AMP-Net: Denoising based Deep Unfolding for Compressive Image Sensingcited by 68
  4. 2017ADMM-Net: A Deep Learning Approach for Compressive Sensing MRIcited by 28
  5. 2018Deep Unfolding of a Proximal Interior Point Method for Image Restorationcited by 23
  6. 2020Compressive Sensing and Neural Networks from a Statistical Learning Perspectivecited by 15
  7. 2017DeepCodec: Adaptive Sensing and Recovery via Deep Convolutional Neural Networkscited by 8
  8. 2020A Robust Deep Unfolded Network for Sparse Signal Recovery from Noisy Binary Measurementscited by 2

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Cited by year

Citing papers per year: 2021: 1; 2022: 2; 2023: 1; 2024: 2; 2025: 2.

8 papers.

  1. 2021Generalization Error Bounds for Iterative Recovery Algorithms Unfolded as Neural Networkscited by 11
  2. 2022DECONET: an Unfolding Network for Analysis-based Compressed Sensing with Generalization Error Boundscited by 4
  3. 2022Learning Sparsity-Promoting Regularizers using Bilevel Optimizationcited by 4
  4. 2023Generalization analysis of an unfolding network for analysis-based Compressed Sensingcited by 2
  5. 2024Unfolding ADMM for Enhanced Subspace Clustering of Hyperspectral Imagescited by 0
  6. 2024Compressed Sensor Caching and Collaborative Sparse Data Recovery with Anchor Alignmentcited by 0
  7. 2025Scalable Context-Preserving Model-Aware Deep Clustering for Hyperspectral Imagescited by 0
  8. 2025Adversarial generalization of unfolding (model-based) networkscited by 0