The training of Emergent Self-organizing Maps (ESOM ) with large datasets can be a computationally demanding task. Batch learning may be used to speed up training. It is demonstrat...
: - To construct a multicast tree is the basis of multicast data transmission. The prime problem concerning the construction of a shared multicast tree is to determine the position...
Abstract— Priority queues are essential for various network processing applications, including per-flow queueing with Quality-of-Service (QoS) guarantees, management of large fa...
SMALLbox is a new foundational framework for processing signals, using adaptive sparse structured representations. The main aim of SMALLbox is to become a test ground for explorati...
Ivan Damnjanovic, Matthew E. P. Davies, Mark D. Pl...
In this work a joint clock recovery (CR) and equalization scheme for short burst transmissions is presented. The joint optimization performance may be pursued by means of both data...