The XG-PON standard for Passive Optical Networks (PONs) imposed high performance requirements for network equipment. Especially, the 10G transmitter designs of the office equipment (OLT), the terminals and the network units (ONTs and ONUs) become quite demanding because of the real-time requirements for preparing a frame. The current paper introduces a three layer architecture, scalable with respect to the bandwidth and suitable to realize the transmitter of the XGPON OLT/ONT/ONU elements. The architecture’s upper layer decides what data packets will be transmitted. The second layer’s microsequencer commands the lowest layer’s modules, which produce and locally store all the data packets to be transmitted. The three layer approach allows the architecture to be configured and organized as either an OLT transmitter or an ONU/ONT transmitter; and to be scalable and perform the functions of the OLT at 10 Gbps and those of an ONU/ONT at 2.5 Gbps. The implementation of a XG-PON ONU transmitter on Xilinx Virtex7 verifies the approach
The current paper introduces a real-time architecture for the computation of the Generalized Partial Directed Coherence (GPDC) of multiple signals. The motivating application is the localization and control of epileptic seizures where hitherto published results shown the effectiveness of exploiting Generalized Partial Directed Coherence to quantify and analyse connectivity and interaction of brain structures. To speed up GPDC computations we develop first, a parallelizing strategy leading to the high performance scalable architecture and second, a low-complexity fixed-point reciprocal square root module. We show that a real-time computation is feasible at a speed of 0.027ms for 16 channels and 1.637ms for 128 channels. Furthermore, the implementation results on Xilinx 7A35T, KC705, VC707, KU115 show that the power requirements are quite modest and allow for the embedded application of the engine
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.