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  1. MIL-Ensemble

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  2. This toolbox contains re-implementations of four different multi-instance learners, i.e. Diverse Density, Citation-kNN, Iterated-discrim APR, and EM-DD. Ensembles of these single multi-instance learners can be built with
  3. 所属分类:人工智能/神经网络/遗传算法

    • 发布日期:2024-11-26
    • 文件大小:3.86mb
    • 提供者:wsy
  1. A_Novel_Structure_of_Signal_Demodulation_in_High_

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  2. In this paper, a novel demodulation structure in high-frequency (HF) channel is introduced and studied.Frequency-offset estimation, ractionally spaced adaptive equalization and carrier recovery techniques are involved.
  3. 所属分类:编程文档

    • 发布日期:2024-11-26
    • 文件大小:182kb
    • 提供者:Lin

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