498 results on '"Sergiy A. Vorobyov"'
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2. Optimal Adaptive Beamforming with Robust Sidelobe Level Control Against the Mismatches of the Steering Vectors.
3. Sensing-Aided Communication Channel Estimation with Tensor-Based Moving Target Localization.
4. Graph Convolutional Neural Networks Sensitivity Under Probabilistic Error Model.
5. Beamforming Design for Integrated Sensing, Over-the-Air Computation, and Communication in Internet of Robotic Things.
6. AdaBoost-Based Efficient Channel Estimation and Data Detection in One-Bit Massive MIMO.
7. Deep Tensor 2-D DOA Estimation for URA.
8. Noise Reduction in Automotive Pulse Radar Using Signal Subspace and Presumed Ambiguity Function.
9. Tensor-Based 2-D DOA Estimation for L-Shaped Nested Array.
10. Optimization Techniques in Wireless Communications
11. Power Allocation and Admission Control in Multiuser Relay Networks via Convex Programming: Centralized and Distributed Schemes
12. Correlation-Based Graph Smoothness Measures In Graph Signal Processing.
13. Noise Reduction via Low Rank Tensor Decomposition for MIMO ISAC Systems.
14. ADMM-Based Solution for mmWave UL Channel Estimation with One-Bit ADCs via Sparsity Enforcing and Toeplitz Matrix Reconstruction.
15. A Low-complexity Noise Reduction Scheme for Target Detection in the 2D Integrated Sensing And Communication System.
16. An Iterative 2-D DOA Estimation Approach for L-shaped Nested Array.
17. Tensorized Neural Layer Decomposition for 2-D DOA Estimation.
18. Transmit Energy Focusing For Parameter Estimation in Transmit Beamspace Slow-Time MIMO Radar.
19. Efficient Online Convolutional Dictionary Learning Using Approximate Sparse Components.
20. Nonnegative Structured Kruskal Tensor Regression.
21. Improved Proportionate Least Mean Square/Fourth Based Channel Equalization for Underwater Acoustic Communications.
22. Efficient Approximate Online Convolutional Dictionary Learning.
23. Decomposed CNN for Sub-Nyquist Tensor-Based 2-D DOA Estimation.
24. Twenty-Five Years of Advances in Beamforming: From convex and nonconvex optimization to learning techniques.
25. Robust Adaptive Beamforming via Worst-Case SINR Maximization With Nonconvex Uncertainty Sets.
26. Graph Neural Network Sensitivity Under Probabilistic Error Model.
27. Sparsity Enforcing with Toeplitz Matrix Reconstruction Method for Mmwave Ul Channel Estimation with One-Bit Adcs.
28. Convolutional Simultaneous Sparse Approximation with Applications to RGB-NIR Image Fusion.
29. Attention Neural Network for Downlink Cell-Free Massive MIMO Power Control.
30. Coupled Feature Learning Via Structured Convolutional Sparse Coding for Multimodal Image Fusion.
31. Robust Adaptive Beamforming Maximizing the Worst-Case SINR Over Distributional Uncertainty Sets for Random INC Matrix And Signal Steering Vector.
32. A Novel Angular Estimation Method in the Presence of Nonuniform Noise.
33. Generalizing Nesterov's Acceleration Framework by Embedding Momentum Into Estimating Sequences: New Algorithm and Bounds.
34. A new accelerated gradient-based estimating sequence technique for solving large-scale optimization problems with composite structure.
35. Efficient ADMM-Based Algorithms for Convolutional Sparse Coding.
36. Transmit Beamspace DDMA Based Automotive MIMO Radar.
37. DOA Estimation for Transmit Beamspace MIMO Radar via Tensor Decomposition With Vandermonde Factor Matrix.
38. An Efficient Approximate Method for Online Convolutional Dictionary Learning.
39. Low Mutual Coupling Sparse Array Design Using ULA Fitting.
40. Constrained Tensor Decomposition for 2d DOA Estimation In Transmit Beamspace Mimo Radar with Subarrays.
41. Enhanced Standard Esprit For Overcoming Imperfections In DOA Estimation.
42. Tensor Decomposition Based DOA Estimation for Transmit Beamspace MIMO Radar.
43. Joint Design of Radar Transmit Waveform and Mismatched Filter with Low Sidelobes.
44. Robust Registration of Multi-modal Medical Images Using Huber's Criterion.
45. A Complexity Efficient DMT-Optimal Tree Pruning Based Sphere Decoding.
46. Image Fusion using Joint Sparse Representations and Coupled Dictionary Learning.
47. Blind Source Separation of Graph Signals.
48. Impact of Pilot Overhead and Channel Estimation on the Performance of Massive MIMO.
49. Tensor Decompositions in Wireless Communications and MIMO Radar.
50. Introduction to the Special Issue on Tensor Decomposition for Signal Processing and Machine Learning.
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