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saeed mohammadzadeh
saeed mohammadzadeh
Department of Electronics, University of York
Verified email at york.ac.uk
Title
Cited by
Cited by
Year
Maximum entropy-based interference-plus-noise covariance matrix reconstruction for robust adaptive beamforming
S Mohammadzadeh, VH Nascimento, RC de Lamare, O Kukrer
IEEE Signal Processing Letters 27, 845-849, 2020
662020
Adaptive beamforming based on theoretical interference‐plus‐noise covariance and direction‐of‐arrival estimation
S Mohammadzadeh, O Kukrer
IET Signal Processing 12 (7), 819-825, 2018
302018
Robust beamforming based on complex-valued convolutional neural networks for sensor arrays
S Mohammadzadeh, VH Nascimento, RC de Lamare, N Hajarolasvadi
IEEE Signal Processing Letters 29, 2108-2112, 2022
242022
Robust adaptive beamforming for fast moving interference based on the covariance matrix reconstruction
S Mohammadzadeh, O Kukrer
IET Signal Processing 13 (4), 486-493, 2019
222019
Modified robust capon beamforming with approximate orthogonal projection onto the signal-plus-interference subspace
S Mohammadzadeh, O Kukrer
Circuits, Systems, and Signal Processing 37 (12), 5351-5368, 2018
222018
Robust adaptive beamforming based on covariance matrix and new steering vector estimation
S Mohammadzadeh, O Kukrer
Signal, Image and Video Processing 13, 853-860, 2019
192019
Generalised loading algorithm for adaptive beamforming in ULAs
O Kukrer, S Mohammadzadeh
Electronics letters 50 (13), 910-912, 2014
192014
Robust adaptive beamforming with improved interferences suppression and a new steering vector estimation based on spatial power spectrum
S Mohammadzadeh, O Kukrer
Circuits, Systems, and Signal Processing 38 (9), 4162-4179, 2019
162019
Covariance matrix reconstruction based on power spectral estimation and uncertainty region for robust adaptive beamforming
S Mohammadzadeh, VH Nascimento, RC de Lamare, O Kukrer
IEEE Transactions on Aerospace and Electronic Systems 59 (4), 3848-3858, 2022
142022
Robust adaptive beamforming based on low-complexity discrete fourier transform spatial sampling
S Mohammadzadeh, VH Nascimento, RC De Lamare, O Kukrer
IEEE Access 9, 84845-84856, 2021
132021
Robust adaptive beamforming based on power method processing and spatial spectrum matching
S Mohammadzadeh, VH Nascimento, RC De Lamare, O Kukrer
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
112022
Robust adaptive beamforming based on virtual sensors using low-complexity spatial sampling
S Mohammadzadeh, VH Nascimento, RC De Lamare, O Kukrer
Signal Processing 188, 108172, 2021
112021
SarcGraph: A Python package for analyzing the contractile behavior of pluripotent stem cell-derived cardiomyocytes
S Mohammadzadeh, E Lejeune
Journal of Open Source Software 8 (85), 5322, 2023
72023
Jammer tracking based on efficient covariance matrix reconstruction with iterative spatial spectrum sampling
S Mohammadzadeh, VH Nascimento, RC de Lamare, O Kukrer
IEEE Transactions on Aerospace and Electronic Systems, 2023
52023
Investigating deep learning model calibration for classification problems in mechanics
S Mohammadzadeh, P Prachaseree, E Lejeune
Mechanics of Materials 184, 104749, 2023
42023
Low-cost adaptive maximum entropy covariance matrix reconstruction for robust beamforming
S Mohammadzadeh, VH Nascimento, RC de Lamare, O Kukrer
2020 54th Asilomar Conference on Signals, Systems, and Computers, 1462-1466, 2020
42020
Study of Robust Adaptive Beamforming with Covariance Matrix Reconstruction Based on Power Spectral Estimation and Uncertainty Region
S Mohammadzadeh, VH Nascimento, RC de Lamare, O Kukrer
arXiv preprint arXiv:2304.10502, 2023
32023
Study of Robust Adaptive Beamforming Algorithms Based on Power Method Processing and Spatial Spectrum Matching
S Mohammadzadeh, VH Nascimento, RC de Lamare, O Kukrer
arXiv preprint arXiv:2309.13785, 2023
12023
Quantifying HiPSC-CM Structural Organization at Scale with Deep Learning-Enhanced SarcGraph
S Mohammadzadeh, E Lejeune
arXiv preprint arXiv:2501.18714, 2025
2025
Novel Iterative Approach for Time-of-Arrivals Based Localization With Maximum Likelihood Estimation
S Wu, K Zhou, M Zhang, K Cumanan, S Mohammadzadeh, K Xu, Z Lan, ...
IEEE Wireless Communications Letters, 2024
2024
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