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Array Design Based on the Worst-Case Cramér-Rao Bound to Account for Multiple Targets
Pattern Coupled Sparse Bayesian Learning with Fixed Point Iterations for DOA and Amplitude Estimation
Sensor Selection for Angle of Arrival Estimation Based on the Two-Target Cramér-Rao Bound
Robust Pareto-Optimal Radar Receive Filter Design for Noise and Sidelobe Suppression
Forecasting Graph Signals with Recursive MIMO Graph Filters
Inter-Vector Interference Self-Cancellation Scheme for Differential OSDM in Underwater Acoustic Communications
Super-Resolution Harmonic Retrieval of Non-Circular Signals
Blind Polynomial Regression
3D Carotid Artery Flow Imaging Using Compressive Sensing with a Spatial Coding Mask: A Simulation Study
Dynamic Bi-Colored Graph Partitioning
Structured Sensing Matrix Design for In-sector Compressed mmWave Channel Estimation
Learning-based method for k-space trajectory design in MRI
Aerial Base Station Placement Leveraging Radio Tomographic Maps
Compressive Imaging with Spatial Coding Masks on Low Number of Elements: An Emulation Study
Single-Pulse Estimation of Target Velocity on Planar Arrays
Simplicial Convolutional Neural Networks
A Delayed and Subsampled Wideband Sparse Array for Joint Angle and Frequency Estimation
Finite Impulse Response Filters for Simplicial Complexes
Online Graph Learning From Time-Varying Structural Equation Models
Multiple Measurement Vector Model for Sparsity-Based Vascular Ultrasound Imaging
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