关键词: 计算机应用, 多项式预测滤波, 采样, 虚拟传感器, 实时信号, 网络传输

Abstract: The realtime signal transmission was studied by using signal processing theory. A prediction method to alleviate the bad consequences caused by the transmission uncertainty was presented. Between users and network a virtual sensor, whose output signals seem to be generated from a local sensor, was constructed by combining polynomial predictive filtering (PPT) theory and channel coding technique. Thus, the network transmission uncertainty was transformed into the system model uncertainty. Based on this, the error caused by the transmission uncertainties and the prediction error were processed together as the output error of virtual sensor, by which the realtime performance and the reliability of the signal transmission were balanced. In such a way, a system related with real-time signal transmission can be designed and analyzed as the nonnetworked system. The presented method is of great theoretical importance and application significance for the development of networked control system (NCS) and sensor network.

Key words: computer application, polynomial predictive filtering(PPF), sampling, virtual sensor, realtime signals, network transmission