A hybrid fiber coaxial (HFC) network uses both optical fibers and coaxial cables for cable TV networks. Coaxial cables are mainly used for access networks. Recently, fiber to the home (FTTH) is being widely deployed. For cable TV companies to utilize readily deployed FTTH, legacy coax network-based customer premise equipment (CPE) such as cable modems and set top boxes may have to be replaced with fiber network based CPE. In order to reduce the expenditure incurred in this process, radio over Internet Protocol (RoIP) technology has been proposed. In the RoIP system, RF signal for coax generated by legacy CPE toward the headend is first sampled, and digitized, and then encapsulated in IP packets, which are then sent to the headend using FTTH access technologies such as passive optical network (PON). In the process of digitizing RF signal, a huge amount of data much more than the base band data is generated. So, a data compression method is required to lower the upstream bit rate maintaining the signal quality. Most compression methods are significantly degraded due to the interference caused by burst noise in the upstream link. Therefore, this paper proposes a new compression method which combines linear predictive coding (LPC), block scaling and non-linear quantization for CATV upstream links. The proposed method is demonstrated to greatly reduce the impact of burst noise while maintaining the compression performance.

中文翻译：

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有线电视网络突发噪声上行环境中的RoIP压缩方法

混合光纤同轴（HFC）网络将光纤和同轴电缆同时用于有线电视网络。同轴电缆主要用于接入网络。最近，光纤到户（FTTH）正在广泛部署。为了使有线电视公司利用易于部署的FTTH，可能必须将基于有线网络的传统客户驻地设备（CPE）（例如电缆调制解调器和机顶盒）替换为基于光纤网络的CPE。为了减少在该过程中产生的支出，已经提出了基于因特网协议的无线电（RoIP）技术。在RoIP系统中，传统CPE生成的用于同轴电缆的射频信号首先被采样并数字化，然后封装在IP数据包中，然后使用诸如无源光网络（PON）之类的FTTH接入技术将其发送到前端。在数字化RF信号的过程中，比生成的基带数据要多得多的大量数据。因此，需要一种数据压缩方法来降低上行比特率，以保持信号质量。由于上游链路中突发噪声引起的干扰，大多数压缩方法的性能大大降低。因此，本文提出了一种新的压缩方法，该方法结合了线性预测编码（LPC），块缩放和非线性量化的CATV上行链路。所提出的方法被证明可以在保持压缩性能的同时极大地减少突发噪声的影响。由于上游链路中突发噪声引起的干扰，大多数压缩方法的性能大大降低。因此，本文提出了一种新的压缩方法，该方法结合了线性预测编码（LPC），块缩放和非线性量化的CATV上行链路。所提出的方法被证明可以在保持压缩性能的同时极大地减少突发噪声的影响。由于上游链路中突发噪声引起的干扰，大多数压缩方法的性能大大降低。因此，本文提出了一种新的压缩方法，该方法结合了线性预测编码（LPC），块缩放和非线性量化的CATV上行链路。所提出的方法被证明可以在保持压缩性能的同时极大地减少突发噪声的影响。