Time-Varying Convex Optimization: Time-Structured Algorithms and Applications

Sensor placement and resource allocation for energy harvesting IoT networks

State-Space Network Topology Identification from Partial Observations

Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks

Antenna Placement in a Compressive Sensing-Based Colocated MIMO Radar

Compressed-Domain Detection and Estimation for Colocated MIMO Radar

Observing and tracking bandlimited graph processes from sampled measurements

Equalization of OSDM over time-varying channels based on diagonal-block-banded matrix enhancement

Low-Complexity Gridless 2D Harmonic Retrieval via Decoupled-ANM Covariance Reconstruction

Sensor commissioning detection in single-pixel thermopile sensing systems

Fast spectral approximation of structured graphs with applications to graph filtering

DoA estimation via unlimited sensing

Node varying regularization for graph signals

Blind calibration for arrays with an aberration layer in ultrasound imaging

Underwater Acoustic Communication Using Multiple-Input-Multiple-Output Doppler-Resilient Orthogonal Signal Division Multiplexing

Submodularity in Action: From Machine Learning to Signal Processing Applications

Consensus Based Distributed Sparse Bayesian Learning By Fast Marginal Likelihood Maximization

Blind Calibration of Sparse Arrays for DOA Estimation with Analog and One-bit Measurements

Iterative Per-Vector Equalization for Orthogonal Signal-Division Multiplexing Over Time-Varying Underwater Acoustic Channels

Convolutional Neural Network Architectures for Signals Supported on Graphs