首页> 外国专利> METHOD OF PROCESSING SIGNAL-NOISE MIXTURE IN POST-SHANNON CHANNELS

METHOD OF PROCESSING SIGNAL-NOISE MIXTURE IN POST-SHANNON CHANNELS

机译:香农后通道中的信号噪声混合处理方法

摘要

FIELD: data processing.;SUBSTANCE: invention relates to post-Shannon discrete information conversion channels. Method of processing a signal-noise mixture (SNM) in post-Shannon channels: in a receiving device, the SNM before quantisation is reduced in modulus to the required level, but not less than the level of the signal potentially contained in it, while simultaneously amplifying to a level within the dynamic range of the quantiser. Reduction is carried out by subtracting from the initial signal-noise mixture an auxiliary signal with the required level, such that the residue satisfies the above reduction condition. Reduction-amplification process ensures conformity of resolution of used quantiser to level of signal, which is potentially contained in signal-noise mixture, when processing signal levels low by technical criteria, the reduction-amplification procedure is cyclically repeated, taking in each subsequent cycle as the initial signal-noise mixture the processed signal-noise mixture obtained in the previous cycle.;EFFECT: technical result of the invention is the possibility of using the ADC of lower bit capacity with all other requirements to the device for converting the SNM.;1 cl
机译:香农后离散信息转换通道技术领域本发明涉及香农后离散信息转换通道。在香农后信道中处理信号噪声混合物(SNM)的方法:在接收设备中,将量化前的SNM的模量减小到所需的水平,但不小于其中可能包含的信号的水平,而同时放大到量化器动态范围内的水平。通过从初始信号噪声混合物中减去具有所需电平的辅助信号来进行还原,以使残留物满足上述还原条件。还原放大过程可确保所用量化器的分辨率与信号电平(可能包含在信号噪声混合物中)相一致,当按技术标准处理信号电平较低时,循环重复执行还原放大程序,将每个后续周期记为效果:本发明的技术结果是可以将具有较低比特容量的ADC以及所有其他要求用于转换SNM的设备。 1厘升

著录项

  • 公开/公告号RU2715289C1

    专利类型

  • 公开/公告日2020-02-26

    原文格式PDF

  • 申请/专利权人 SHILOV VIKTOR PETROVICH;

    申请/专利号RU20190120594

  • 发明设计人 SHILOV VIKTOR PETROVICH (RU);

    申请日2019-06-28

  • 分类号H04L1;

  • 国家 RU

  • 入库时间 2022-08-21 11:02:36

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号