Výsledky vyhledávání - complex-valued sparse autoencoder*

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  1. 1

    Channel Estimation and Pilot Design for Uplink Sparse Code Multiple Access System Based on Complex-Valued Sparse Autoencoder Autor Yuan, Quan, Li, Dezhi, Wang, Zhenyong, Liu, Chang, He, Ci

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 2025
    Vydáno v IEEE access (2025)
    “… Especially, in sparse code multiple access (SCMA) system, the accuracy of channel estimation has a significant impact on decoding performance…”
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    Journal Article
  2. 2

    Improved Multi-Echo Gradient-Echo-Based Myelin Water Fraction Mapping Using Dimensionality Reduction Autor Song, Jae Eun, Kim, Dong-Hyun

    ISSN: 0278-0062, 1558-254X, 1558-254X
    Vydáno: United States IEEE 01.01.2022
    Vydáno v IEEE transactions on medical imaging (01.01.2022)
    “… Specifically, we implemented a fully connected deep autoencoder to extract the low-dimensional features of complex-valued signals and incorporated a sparse regularization to separate the anomaly…”
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    Journal Article
  3. 3

    One-Stage Blind Source Separation via a Sparse Autoencoder Framework Autor Dabin, Jason Anthony

    ISBN: 9798841745686
    Vydáno: ProQuest Dissertations & Theses 01.01.2022
    “… An unsupervised machine learning approach using an artificial feedforward neural network sparse autoencoder with one hidden layer is formulated for blindly recovering the channel matrix and source…”
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    Dissertation
  4. 4

    CVAE: An Efficient and Flexible Approach for Sparse Aperture ISAR Imaging Autor Wang, Jianyang, Li, Shiyuan, Cheng, Di, Zhou, Lingyun, Chen, Chang, Chen, Weidong

    ISSN: 1545-598X, 1558-0571
    Vydáno: Piscataway IEEE 2023
    “…) imaging suffers from high computational burdens and complicated formula derivations. To solve these problems, a complex-valued autoencoder (CVAE…”
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    Journal Article
  5. 5

    Deep-Learning-Based Dictionary Construction for MIMO Radar Detection in Complex Scenes Autor Wang, Hongyan, Zhou, He, Guo, Qinghua, Li, Jun

    ISSN: 2327-4662, 2327-4662
    Vydáno: Piscataway IEEE 01.04.2024
    Vydáno v IEEE internet of things journal (01.04.2024)
    “…, where the nonlinear characteristics of the received signal are effectively represented and corrected using a complex-valued convolutional autoencoder (CVCAE) network…”
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    Journal Article
  6. 6

    Robust Multiple-Measurement Sparsity-Aware STAP with Bayesian Variational Autoencoder Autor Zhang, Chenxi, Zhao, Huiliang, Chen, Wenchao, Chen, Bo, Wang, Penghui, Jia, Changrui, Liu, Hongwei

    ISSN: 2072-4292, 2072-4292
    Vydáno: Basel MDPI AG 01.08.2022
    Vydáno v Remote sensing (Basel, Switzerland) (01.08.2022)
    “…−time adaptive processing (STAP) often suffers remarkable performance degradation in the heterogeneous clutter environment. Sparse recovery (SR…”
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    Journal Article