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EQUALIZING APPARATUS USING ERROR BACK PROPAGATION NEURAL NETWORK

机译:使用误差反向传播神经网络均衡设备

摘要

PURPOSE: An equalizing device using an error back propagation neural network for removing nonlinear distortion is provided to efficiently remove the nonlinear ISI(Inter Symbol Interference), minimize a noise influence, and improve equalizing performance. CONSTITUTION: A delay part(1) makes buffers for delaying a digital input signal form one line. An operator(3) is connected to a delay line as many as the delay lines of the delay part, and outputs an estimated value for a digital input signal string by operating the delay signal provided from the delay lines and each weight through a function. A detector(7) calculates a determined value of a digital form depending on an output signal of the operator and receives an operation result as a reference signal by providing the determined value to the operator.
机译:目的:提供一种使用误差反向传播神经网络消除非线性失真的均衡设备,以有效消除非线性ISI(符号间干扰),最小化噪声影响并提高均衡性能。组成:延迟部分(1)构成缓冲器,用于延迟一条线的数字输入信号。操作器(3)连接到与延迟部分的延迟线一样多的延迟线,并且通过对从延迟线提供的延迟信号和每个权重通过函数进行操作来输出数字输入信号串的估计值。检测器(7)根据操作员的输出信号来计算数字形式的确定值,并且通过将确定的值提供给操作员来接收操作结果作为参考信号。

著录项

  • 公开/公告号KR100544149B1

    专利类型

  • 公开/公告日2006-01-23

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR20030043487

  • 发明设计人 이윤봉;

    申请日2003-06-30

  • 分类号G06N3/02;

  • 国家 KR

  • 入库时间 2022-08-21 21:24:27

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