The solving of least square systems is a useful operation in neurocomputational modeling of learning, pattern matching, and pattern recognition. In these last two cases, the soluti...
Pattern matching is the most computation intensive task of a network intrusion detection system (NIDS). In this paper we present a hardware architecture to speed up the pattern mat...
Abstract—The dynamic power consumed by a digital CMOS circuit is directly proportional to capacitance. In this paper, we consider pre-routing capacitance estimation for FPGAs and...
Wavelet analysis has found widespread use in signal processing and many classification tasks. Nevertheless, its use in dynamic pattern recognition have been much more restricted ...
This paper outlines an ontology for characterising architecture frameworks. The ontology is based on the metamodel of MAF, and is currently being tried out on a set of well-known e...