Výsledky vyhledávání - "Difference of Convex functions (DC) programming"

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  1. 1

    Online Stochastic DCA With Applications to Principal Component Analysis Autor Le Thi, Hoai An, Luu, Hoang Phuc Hau, Dinh, Tao Pham

    ISSN: 2162-237X, 2162-2388, 2162-2388
    Vydáno: United States IEEE 01.05.2024
    “…Stochastic algorithms are well-known for their performance in the era of big data. In this article, we study nonsmooth stochastic Difference-of-Convex…”
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    Journal Article
  2. 2

    Ordinal Regression for Direction-Related Anomaly Detection Autor Tu, Jiankai, Liu, Huan, Li, Chunguang

    ISSN: 2162-237X, 2162-2388, 2162-2388
    Vydáno: United States IEEE 01.05.2024
    “…Anomaly detection is widely used in many fields to reveal the abnormal process of a system. Typical model-based anomaly detection methods work well in general…”
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    Journal Article
  3. 3

    Sum-Rate Maximization in Two-Way AF MIMO Relaying: Polynomial Time Solutions to a Class of DC Programming Problems Autor Khabbazibasmenj, A., Roemer, F., Vorobyov, S. A., Haardt, M.

    ISSN: 1053-587X, 1941-0476
    Vydáno: New York, NY IEEE 01.10.2012
    “…Sum-rate maximization in two-way amplify-and-forward (AF) multiple-input multiple-output (MIMO) relaying belongs to the class of difference-of-convex functions…”
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    Journal Article
  4. 4

    Robust Adaptive Beamforming for General-Rank Signal Model With Positive Semi-Definite Constraint via POTDC Autor Khabbazibasmenj, Arash, Vorobyov, Sergiy A.

    ISSN: 1053-587X, 1941-0476
    Vydáno: New York, NY IEEE 01.12.2013
    “…The robust adaptive beamforming (RAB) problem for general-rank signal model with an additional positive semi-definite constraint is considered. Using the…”
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    Journal Article
  5. 5

    A Novel Maximum-Likelihood Detection for the Binary MIMO System Using DC Programming Autor Tan, Benying, Li, Xiang, Ding, Shuxue, Li, Yujie, Akaho, Shotaro, Asoh, Hideki

    ISSN: 2325-5994
    Vydáno: IEEE 01.10.2019
    “…The multiple-input multiple-output (MIMO) system is widely used in wireless communications. For the problem of the discrete maximum-likelihood (ML) detection…”
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