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  1. Spherical_detection_algorithm

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  2. 球形检测算法论文,性能接近最大似然算法,但是复杂度较低-Spherical detection algorithm paper, the performance near the maximum likelihood algorithm, but the complexity is low
  3. 所属分类:Communication

    • 发布日期:2017-05-17
    • 文件大小:4mb
    • 提供者:王超
  1. robust-MIMO-detection

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  2. 在多输入多输出系统中的鲁棒球形译码的实现-We present a maximum-likelihood decoding algorithm for an arbitrary lattice code when used over an independent fading channel with perfect channel state information at the receiver. The decoder is based on a bounded distanc
  3. 所属分类:Communication

    • 发布日期:2017-03-30
    • 文件大小:143.01kb
    • 提供者:应杰
  1. MIMO-detection-algorithm

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  2. MIMO检测算法,联合多种调制方式,仿真对象为相应的误码率和容量等。-scr ipt for computing the BER for BPSK modulation in a Rayleigh fading channel with 2 Tx, 2Rx MIMO channel Maximum Likelihood equalization
  3. 所属分类:Communication

    • 发布日期:2017-04-03
    • 文件大小:17.54kb
    • 提供者:dongliang
  1. digital_communication_simulation

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  2. 曾峰的数字通信,主要包括波形成型,匹配滤波,AM调制解调,QPSK调制解调,FSK调制解调,最大似然检测等。-Digital communication has peaks, including waveform shaping, matched filtering, AM modulation and demodulation, QPSK modulation and demodulation, FSK modulation and demodulation, the maximum like
  3. 所属分类:Communication

    • 发布日期:2017-05-02
    • 文件大小:761.52kb
    • 提供者:wang
  1. 2

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  2. On Maximum-Likelihood Detection and the Search for the Closest Lattice Point
  3. 所属分类:Communication

    • 发布日期:2017-05-03
    • 文件大小:603.77kb
    • 提供者:Zahran ELHAJJI
  1. 01327753

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  2. Silicon Complexity for Maximum Likelihood MIMO Detection Using Spherical Decoding
  3. 所属分类:Communication

    • 发布日期:2017-05-07
    • 文件大小:1.04mb
    • 提供者:mejsi
  1. Maximum-likelihood_MIMO

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  2. MIMO 最大释然检测 (ML)Maximum likelihood equalizer for MIMO system-Maximum likelihood equalizer for MIMO system .MIMO ML detection,it s very useful
  3. 所属分类:Communication

    • 发布日期:2017-04-15
    • 文件大小:4.74kb
    • 提供者:wang
  1. ej165

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  2. 基于分段非线性权重值的Pso算法,最大似然(ML)准则和最大后验概率(MAP)准则,有循环检测,周期性检测。- Based on piecewise nonlinear weight value Pso algorithm, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, There are cycle detection, periodic testing.
  3. 所属分类:Communication

    • 发布日期:2017-12-13
    • 文件大小:12.64kb
    • 提供者:林永礼
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