Mehmet Can Hücümenoglu

Orcid: 0000-0002-0540-2856

According to our database1, Mehmet Can Hücümenoglu authored at least 15 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
DynaPA: Dynamic Power Allocation for Improved Exploration-Exploitation in Active Sensing.
Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

Effect of Beampattern on Matrix Completion with Sparse Arrays.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Super-Resolution With Sparse Arrays: A Nonasymptotic Analysis of Spatiotemporal Trade-Offs.
IEEE Trans. Signal Process., 2023

To Regularize or Not to Regularize: The Role of Positivity in Sparse Array Interpolation with a Single Snapshot.
Proceedings of the IEEE International Conference on Acoustics, 2023

Max-Min Hierarchical Codebooks for Millimeter-Wave Channel Sensing with Bandit Algorithms.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
Single-Snapshot Nested Virtual Array Completion: Necessary and Sufficient Conditions.
IEEE Signal Process. Lett., 2022

Ada-JSR: Sample Efficient Adaptive Joint Support Recovery From Extremely Compressed Measurement Vectors.
Proceedings of the IEEE International Conference on Acoustics, 2022

Geometry of Random Sparse Arrays.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Beyond Coarray MUSIC: Harnessing the Difference Sets of Nested Arrays With Limited Snapshots.
IEEE Signal Process. Lett., 2021

Exploring Fundamental Limits of Spatiotemporal Sensing for Non-Linear Inverse problems.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
Effect of Undersampling on Non-Negative Blind Deconvolution with Autoregressive Filters.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Learning Polynomial Neural Networks via Low Rank Tensor Recovery.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Understanding Sample Complexities for Structured Signal Recovery from Non-Linear Measurements.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

On the Role of Sampling in Underdetermined Tensor Decomposition with Kronecker and Khatri-Rao Structured Factors.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Compressive Kriging Using Multi-Dimensional Generalized Nested Sampling.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018


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