Arian Eamaz

Signal Process., May, 2023

Matrix Completion via Memoryless Scalar Quantization.

[BibT_eX]

[DOI]

CoRR, 2023

Matrix Completion from One-Bit Dither Samples.

[BibT_eX]

[DOI]

CoRR, 2023

Low-rank Matrix Sensing With Dithered One-Bit Quantization.

[BibT_eX]

[DOI]

CoRR, 2023

Harnessing the Power of Sample Abundance: Theoretical Guarantees and Algorithms for Accelerated One-Bit Sensing.

[BibT_eX]

[DOI]

CoRR, 2023

One-Bit Quadratic Compressed Sensing: From Sample Abundance to Linear Feasibility.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2023

Joint Waveform and Passive Beamformer Design in Multi-IRS-Aided Radar.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Quantized Phase-Shift Design Of Active IRS For Integrated Sensing And Communications.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

CyPMLI: WISL-Minimized Unimodular Sequence Design via Power Method-Like Iterations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Near-Field Low-WISL Unimodular Waveform Design for Terahertz Automotive Radar.

[BibT_eX]

[DOI]

Proceedings of the 31st European Signal Processing Conference, 2023

Submodular Optimization for Placement of Intelligent Reflecting Surfaces in Sensing Systems.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

Global One-Bit Phase Retrieval via Sample Abundance-Including an Application to STFT Measurements.

[BibT_eX]

[DOI]

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

Unlimited Sampling of FRI Signals with Dithered One-Bit Quantization.

[BibT_eX]

[DOI]

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Covariance Recovery for One-Bit Sampled Non-Stationary Signals With Time-Varying Sampling Thresholds.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2022

One-Bit Phase Retrieval: More Samples Means Less Complexity?

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2022

Cramér-Rao Lower Bound Optimization for Hidden Moving Target Sensing via Multi-IRS-Aided Radar.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2022

On the Building Blocks of Sparsity Measures.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2022

Generalized Probability Density Function Estimation via Convex Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2022

OPeRA: Leveraging the Sample Size and Complexity Trade-Off Towards Efficient One-Bit Phase Retrieval.

[BibT_eX]

[DOI]

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

2021

Modified Arcsine Law for One-Bit Sampled Stationary Signals with Time-Varying Thresholds.

[BibT_eX]

[DOI]