As wireless network infrastructure becomes more reliable, an increasing number of traditional desktop applications, beyond common web browsing, migrate to portable devices. Since ...
Current microprocessor instruction set architectures are word oriented, with some subword support. Many important applications, however, can realize substantial performance benefi...
This paper develops a new class of algorithms for signal recovery in the distributed compressive sensing (DCS) framework. DCS exploits both intra-signal and inter-signal correlati...
Stephen R. Schnelle, Jason N. Laska, Chinmay Hegde...
In Cognitive Radio scenarios channelization information from primary network may be available to the spectral monitor. Under this assumption we propose a spectral estimation algor...
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...