Saidur R. Pavel

Orcid: 0009-0004-7049-2829

According to our database1, Saidur R. Pavel authored at least 14 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
2D DOA Estimation of Coherent Signals Exploiting Forward-Backward Covariance Tensor.
IEEE Trans. Signal Process., 2026

2D DOA Estimation of Coherent Signals Exploiting Moving Uniform Rectangular Array.
IEEE Signal Process. Lett., 2026

2025
Massive MIMO System Partitioning for Efficient Hybrid Beamformer Optimization.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Structured Decorrelation of Covariance Matrix for DOA Estimation of Coherent Signals.
Proceedings of the 33rd European Signal Processing Conference, 2025

Tensor-Based Compressive Measurements in Two-Dimensional Massive MIMO Systems.
Proceedings of the 59th Asilomar Conference on Signals, 2025

Deep Learning Model Chaining for DOA Estimation Using Sparse Arrays.
Proceedings of the 59th Asilomar Conference on Signals, 2025

2024
Direction-of-Arrival Estimation of Mixed Coherent and Uncorrelated Signals.
IEEE Signal Process. Lett., 2024

Tensor Reconstruction-Based Sparse Array 2-D DOA Estimation of Mixed Coherent and Uncorrelated Signals.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Optimization of the Compressive Measurement Matrix in a Massive MIMO System Exploiting LSTM Networks.
Algorithms, June, 2023

Deep Learning-Based Compressive Sampling Optimization in Massive MIMO Systems.
Proceedings of the IEEE International Conference on Acoustics, 2023

Active IRS-Assisted MIMO Channel Estimation and Prediction.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Neural Network Approach to Iterative Optimization of Compressive Measurement Matrix in Massive Mimo System.
Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022

Neural Network-Based Compression Framework for DOA Estimation Exploiting Distributed Array.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Machine Learning-Based Direction-of-Arrival Estimation Exploiting Distributed Sparse Arrays.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021


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