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Eamaz, Arian
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1

Harnessing the Power of Sample Abundance: Theoretical Guara..:

Eamaz, Arian ; Yeganegi, Farhang ; Needell, Deanna.
IEEE Transactions on Information Theory.  , 2024
Link: https://doi.org/10.1109/..
 
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2

UNO: Unlimited Sampling Meets One-Bit Quantization:

Eamaz, Arian ; Mishra, Kumar Vijay ; Yeganegi, Farhang.
IEEE Transactions on Signal Processing.  72 (2024)  - p. 997-1014 , 2024
Link: https://doi.org/10.1109/..
 
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3

MaRLI: Attack on the Discrete-Phase WISL Minimization Probl..:

Eamaz, Arian ; Yeganegi, Farhang ; Soltanalian, Mojtaba
IEEE Transactions on Signal Processing.  72 (2024)  - p. 219-234 , 2024
Link: https://doi.org/10.1109/..
 
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4

Covariance recovery for one-bit sampled stationary signals ..:

Eamaz, Arian ; Yeganegi, Farhang ; Soltanalian, Mojtaba
Signal Processing.  206 (2023)  - p. 108899 , 2023
Link: https://doi.org/10.1016/..
 
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5

On the Building Blocks of Sparsity Measures:

Eamaz, Arian ; Yeganegi, Farhang ; Soltanalian, Mojtaba
IEEE Signal Processing Letters.  29 (2022)  - p. 2667-2671 , 2022
Link: https://doi.org/10.1109/..
 
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6

Covariance Recovery for One-Bit Sampled Non-Stationary Sign..:

Eamaz, Arian ; Yeganegi, Farhang ; Soltanalian, Mojtaba
IEEE Transactions on Signal Processing.  70 (2022)  - p. 5222-5236 , 2022
Link: https://doi.org/10.1109/..
 
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7

Cramér–Rao Lower Bound Optimization for Hidden Moving Targe..:

Esmaeilbeig, Zahra ; Mishra, Kumar Vijay ; Eamaz, Arian.
IEEE Signal Processing Letters.  29 (2022)  - p. 2422-2426 , 2022
Link: https://doi.org/10.1109/..
 
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8

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

Eamaz, Arian ; Yeganegi, Farhang ; Soltanalian, Mojtaba
IEEE Transactions on Signal Processing.  70 (2022)  - p. 4618-4632 , 2022
Link: https://doi.org/10.1109/..
 
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