Search Results - "Abtahi, Azra"
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1
Off-Grid Localization in MIMO Radars Using Sparsity
Published in IEEE signal processing letters (01-02-2018)“…In this letter, we propose a new accurate approach for target localization in multiple-input multiple-output (MIMO) radars, which exploits the sparse spatial…”
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2
An Adaptive Iterative Thresholding Algorithm for Distributed MIMO Radars
Published in IEEE transactions on aerospace and electronic systems (01-04-2019)“…In this paper, a Block Iterative Method with Adaptive Thresholding for Sparse Recovery (BIMATSR) is proposed to recover the received signal in an under-sampled…”
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3
Simultaneous Block Iterative Method With Adaptive Thresholding for Cooperative Spectrum Sensing
Published in IEEE transactions on vehicular technology (01-06-2019)“…The effective utilization of the spectrum has become an essential goal in the communications field, which is addressed by the Cognitive Radio (CR) systems. The…”
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4
Interpretable machine learning for predicting the fate and transport of pentachlorophenol in groundwater
Published in Environmental pollution (1987) (15-03-2024)“…Pentachlorophenol (PCP) is a commonly found recalcitrant and toxic groundwater contaminant that resists degradation, bioaccumulates, and has a potential for…”
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EpilepsyNet: Interpretable Self-Supervised Seizure Detection for Low-Power Wearable Systems
Published in 2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS) (11-06-2023)“…Epilepsy is one of the most common neurological disorders that is characterized by recurrent and unpredictable seizures. Wearable systems can be used to detect…”
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Conference Proceeding -
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Lightweight Machine Learning for Seizure Detection on Wearable Devices
Published in ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (04-06-2023)“…For patients with epilepsy, automatic epilepsy monitoring, i.e., the process of direct observation of the patient's health status in real time, is crucial…”
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Conference Proceeding -
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Power allocation and measurement matrix design for block CS-based distributed MIMO radars
Published in Aerospace science and technology (01-06-2016)“…Multiple-input multiple-output (MIMO) radars offer higher resolution, better target detection, and more accurate target parameter estimation. Due to the…”
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8
Energy-Aware Integrated Neural Architecture Search and Partitioning for Distributed Internet of Things (IoT)
Published in IEEE transactions on circuits and systems for artificial intelligence (06-11-2024)“…Internet of Things (IoT) are one of the key enablers of personalized health. However, IoT devices often have stringent constraints in terms of resources, e.g.,…”
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9
LightFF: Lightweight Inference for Forward-Forward Algorithm
Published 08-04-2024“…The human brain performs tasks with an outstanding energy efficiency, i.e., with approximately 20 Watts. The state-of-the-art Artificial/Deep Neural Networks…”
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Efficient Sparse Artificial Neural Networks
Published 13-03-2021“…The brain, as the source of inspiration for Artificial Neural Networks (ANN), is based on a sparse structure. This sparse structure helps the brain to consume…”
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Ensemble Neural Representation Networks
Published 07-10-2021“…Implicit Neural Representation (INR) has recently attracted considerable attention for storing various types of signals in continuous forms. The existing INR…”
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12
Block adaptive compressive sensing for distributed MIMO radars in clutter environment
Published in 2016 17th International Radar Symposium (IRS) (21-06-2016)“…For the target parameter estimation in MIMO radars in the presence of strong clutter, non-adaptive compressive sensing methods have a poor performance. On the…”
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Conference Proceeding Journal Article -
13
ML-Based Block Sparse Recovery for distributed MIMO Radars in Clutter Environments
Published in 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) (01-11-2019)“…In distributed MIMO radars, block sparse recovery methods can be used to estimate the multiple targets parameters while the sampling rate at each receiver is…”
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Conference Proceeding -
14
Iterative block-sparse recovery method for distributed MIMO radar
Published in 2016 Iran Workshop on Communication and Information Theory (IWCIT) (01-05-2016)“…In this paper, an iterative method for block-sparse recovery is suggested for target parameters estimation in a distributed MIMO radar system. The random…”
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Conference Proceeding -
15
Energy allocation for parameter estimation in block CS-based distributed MIMO systems
Published in 2015 International Conference on Sampling Theory and Applications (SampTA) (01-05-2015)“…Exploiting Compressive Sensing (CS) in MIMO radars, we can remove the need of the high rate A/D converters and send much less samples to the fusion center. In…”
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Conference Proceeding -
16
Power Allocation and Measurement Matrix Design for Block CS-Based Distributed MIMO Radars
Published 02-05-2015“…Multiple-input multiple-output (MIMO) radars offer higher resolution, better target detection, and more accurate target parameter estimation. Due to the…”
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Journal Article