We have designed a novel convolutional neural network based nonlinear classifier that outperforms traditional Volterra nonlinear equalizers.
We present a novel method of extracting figures and images from pages in scanned documents, especially from historical technical documents.
This paper is concerned with a family of character error correcting convolutional codes which are derived from Reed-Solomon block codes.
Ternary Content-Addressable Memories (TCAMs) are becoming very popular for designing high-throughput forwarding engines on routers: they are fast, cost-effective and simple to manage.
Recent experiments have shown that it is now possible to cool and trap neutral atoms.
We present detailed discussions of cooling and trapping mechanisms for an atom in an optical trap inside an optical cavity, as relevant to recent experiments.
In this work, we consider an interference channel model in which K receivers cooperatively attempt to decode their intended messages locally by processing and sharing information through limited ca
The 5G network Slicing provides an end-to-end virtual network with dedicated capacity and other service specific QoS characteristics such as delay, response time, or service availability.
Recently, video-on-demand (VoD) streaming services like Netflix and Hulu have gained a lot of popularity. This has led to a strong increase in bandwidth capacity requirements in the network.
Medium access control ( MAC) protocols have been studied under different contexts for decades.
