会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 114. 发明授权
    • Method for self-training adaptive equalization
    • 自训练自适应均衡方法
    • US5319674A
    • 1994-06-07
    • US781538
    • 1991-10-22
    • Giovanni Cherubini
    • Giovanni Cherubini
    • H04B3/14H03H15/00H03H17/00H03H21/00H04L25/03H04L27/01H03H7/30H03H7/40
    • H04L25/0305
    • A method is disclosed for adapting, in a self-training procedure, an equalizer based on distributed-arithmetic design. In such an equalizer, in each modulation interval addresses are derived from stored received signal samples x.sub.n.sup.q to choose some of the values stored in a look-up table. The chosen table values are combined by shift-and-add operations to obtain an equalizer output value y.sub.n. According to the novel adaptation scheme, only one of the chosen look-up table values is selected per modulation interval, for updating it in a particular fashion to reduce the error detected. The disclosed scheme ensures uniform selection of the stored look-up table values for updating. Only one additional shift-and-add operation is required per modulation interval to achieve satisfactory adaptation of the equalizer. No training sequence is required to be transmitted, and the scheme converges in all situations.
    • 公开了一种用于在自训练程序中适应基于分布式算术设计的均衡器的方法。 在这种均衡器中,在每个调制间隔中,从存储的接收信号采样xnq导出地址,以选择存储在查找表中的一些值。 所选择的表值通过移位和加法运算进行组合,以获得均衡器输出值yn。 根据新颖的适应方案,在每个调制间隔中仅选择所选择的查找表值中的一个,以便以特定方式对其进行更新以减少检测到的错误。 所公开的方案确保所存储的查找表值的均匀选择用于更新。 每个调制间隔只需要一个附加的移位和加法运算,以实现均衡器的令人满意的适应。 不需要传输训练序列,并且在所有情况下均收敛。