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Temporal-frequency-spatial spectrum situation prediction: from the perspective of deep feature learning
Papers | 更新时间：2026-06-10

    • Temporal-frequency-spatial spectrum situation prediction: from the perspective of deep feature learning

    • Journal on Communications   Vol. 47, Issue 5, Pages: 208-222(2026)

    • DOI：10.11959/j.issn.1000-436x.TXXB250612    

      CLC： TN92

    • Received：27 December 2025，

      Revised：2026-03-28，

      Accepted：30 March 2026，

      Published：25 May 2026

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  • Pan Guangliang,Zhang Ying,Zhao Haitao,et al.Temporal-frequency-spatial spectrum situation prediction: from the perspective of deep feature learning[J].Journal on Communications,2026,47(05):208-222. DOI： 10.11959/j.issn.1000-436x.TXXB250612.

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