— Over the last few decades, complex networks have been intensively studied throughout many fields of science, especially in biological and engineering sciences. This paper brie...
We propose a new low complexity and fast converging frequencydomain adaptive algorithm for sparse system identification. This is achieved by exploiting the MMax and SP tap-select...
Andy W. H. Khong, Xiang Lin, Milos Doroslovacki, P...
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
—Wireless mesh networks (WMNs) promise to extend high-speed wireless connectivity beyond what is possible with the current WiFi-based infrastructure. However, their unique archit...
—Wireless and mobile networks have experienced great success over the past few years. However, any single type of wireless and mobile network cannot provide all types of services...