Search Results - "Abtahi, Azra"

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  1. 1

    Off-Grid Localization in MIMO Radars Using Sparsity by Abtahi, Azra, Gazor, Saeed, Marvasti, Farokh

    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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    Journal Article
  2. 2

    An Adaptive Iterative Thresholding Algorithm for Distributed MIMO Radars by Abtahi, Azra, Azghani, Masoumeh, Marvasti, Farokh

    “…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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    Journal Article
  3. 3

    Simultaneous Block Iterative Method With Adaptive Thresholding for Cooperative Spectrum Sensing by Azghani, Masoumeh, Abtahi, Azra, Marvasti, Farokh

    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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    Journal Article
  4. 4

    Interpretable machine learning for predicting the fate and transport of pentachlorophenol in groundwater by Rad, Mehran, Abtahi, Azra, Berndtsson, Ronny, McKnight, Ursula S., Aminifar, Amir

    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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    Journal Article
  5. 5

    EpilepsyNet: Interpretable Self-Supervised Seizure Detection for Low-Power Wearable Systems by Huang, Baichuan, Zanetti, Renato, Abtahi, Azra, Atienza, David, Aminifar, Amir

    “…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
  6. 6

    Lightweight Machine Learning for Seizure Detection on Wearable Devices by Huang, Baichuan, Abtahi, Azra, Aminifar, Amir

    “…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
  7. 7

    Power allocation and measurement matrix design for block CS-based distributed MIMO radars by Abtahi, Azra, Modarres-Hashemi, Mahmoud, Marvasti, Farokh, Tabataba, Foroogh S.

    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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    Journal Article
  8. 8

    Energy-Aware Integrated Neural Architecture Search and Partitioning for Distributed Internet of Things (IoT) by Huang, Baichuan, Abtahi, Azra, Aminifar, Amir

    “…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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    Journal Article
  9. 9

    LightFF: Lightweight Inference for Forward-Forward Algorithm by Aminifar, Amin, Huang, Baichuan, Abtahi, Azra, Aminifar, Amir

    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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    Journal Article
  10. 10

    Efficient Sparse Artificial Neural Networks by Naji, Seyed Majid, Abtahi, Azra, Marvasti, Farokh

    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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    Journal Article
  11. 11

    Ensemble Neural Representation Networks by Kadarvish, Milad Soltany, Mojtahedi, Hesam, Zarch, Hossein Entezari, Kazerouni, Amirhossein, Morsali, Alireza, Abtahi, Azra, Marvasti, Farokh

    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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    Journal Article
  12. 12

    Block adaptive compressive sensing for distributed MIMO radars in clutter environment by Abtahi, Azra, Hamidi, Shayan Mohajer, Marvasti, Farokh

    “…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. 13

    ML-Based Block Sparse Recovery for distributed MIMO Radars in Clutter Environments by Abtahi, Azra, Kamjoo, M.M., Marvasti, Farokh, Gazor, Saeed

    “…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. 14

    Iterative block-sparse recovery method for distributed MIMO radar by Abtahi, Azra, Azghani, Masoumeh, Tayefi, Javad, Marvasti, Farokh

    “…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. 15

    Energy allocation for parameter estimation in block CS-based distributed MIMO systems by Abtahi, Azra, Modarres-Hashemi, M., Marvasti, Farokh, Tabataba, Foroogh S.

    “…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. 16

    Power Allocation and Measurement Matrix Design for Block CS-Based Distributed MIMO Radars by Abtahi, Azra, Modarres-Hashemi, M, Marvasti, Farokh, Tabataba, Foroogh S

    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…”
    Get full text
    Journal Article