Sampling Theory: Beyond Bandlimited Systems

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Tradeoffs Between Convergence Speed and Reconstruction Accuracy in Inverse Problems (2016, neutral): “, sparse vectors [1]–[4] or a Gaussian Mixture Model (GMM) [5].”
Edge Learning for B5G Networks With Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing (2022, neutral): “Problems of sparse optimization and low-rank optimization occur frequently in ML and signal processing [165], [166], [167], [168], whose”
Radar and Communication Coexistence: An Overview: A Review of Recent Methods (2019, background): “A fairly natural evolution of radar and communication Support recovery is digitally performed on the low rate samples. co-existence is to use radar to perform communication, The prototype successfully recovers the support of the communication transmitted bands, as demonstrated in Fig.”
Model-Based Deep Learning (2020, methodology): “Alternatively, domain knowledge can also accommodate deterministic modelling, as commonly used in CS applications [26], [27], where, e.”