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  1. modbus-adress-TK4S

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  2. this documents is Autonics TK4s modbus communication manual. please reading carefuly before setting.
  3. 所属分类:Communication

    • 发布日期:2017-04-01
    • 文件大小:257821
    • 提供者:quocthai
  1. QPSK

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  2. Direct sequence spread spectrum (DSSS) communication systems has been widely used in these years for its advantage of wide spectrum, low working Signal-to-Noise ratio (SNR), anti-interference, anti-multipath effect and capability of LPI and LPD.
  3. 所属分类:Communication

    • 发布日期:2017-04-10
    • 文件大小:2061087
    • 提供者:yangs
  1. Laporan_KP

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  2. About GPON (Gigabyte Passive Optical Network)
  3. 所属分类:Communication

    • 发布日期:2017-03-31
    • 文件大小:577046
    • 提供者:intan
  1. paper1

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  2. Receiver Architectures for MIMO-OFDM Based on a Combined VMP-SP Algorithm
  3. 所属分类:Communication

    • 发布日期:2017-04-03
    • 文件大小:262901
    • 提供者:li
  1. paper2

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  2. Receiver-based Recovery of Clipped OFDM Signals for PAPR Reduction A Bayesian Approach
  3. 所属分类:Communication

    • 发布日期:2017-04-07
    • 文件大小:456484
    • 提供者:li
  1. paper3

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  2. Relay Selection for OFDM Wireless Systems under Asymmetric Information A Contract-Theory Based Approach
  3. 所属分类:Communication

    • 发布日期:2017-04-04
    • 文件大小:673725
    • 提供者:li
  1. paper1

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  2. ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning
  3. 所属分类:Communication

    • 发布日期:2017-04-04
    • 文件大小:340027
    • 提供者:wang
  1. paper2

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  2. Independent Component Analysis with Reconstruction Cost
  3. 所属分类:Communication

    • 发布日期:2017-04-29
    • 文件大小:139972
    • 提供者:wang
  1. paper3

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  2. Kernel Reconstruction ICA for Sparse Representation
  3. 所属分类:Communication

    • 发布日期:2017-04-29
    • 文件大小:184303
    • 提供者:wang
  1. paper4

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  2. Provable Learning of Overcomplete Latent Variable Models Semi-supervised and Unsupervised Settings
  3. 所属分类:Communication

    • 发布日期:2017-04-29
    • 文件大小:236369
    • 提供者:wang
  1. paper5

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  2. Unsupervised Feature Learning for RGB Image Classication
  3. 所属分类:Communication

    • 发布日期:2017-05-03
    • 文件大小:529697
    • 提供者:wang
  1. paper1

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  2. Building high-level features using large-scale unsupervised learning
  3. 所属分类:Communication

    • 发布日期:2017-04-29
    • 文件大小:359485
    • 提供者:xiaowang
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