We consider pragmatic issues in applying constraint-based theories (such as that developed for data exchange) to a variety of problems. We identify disconnects between theoreticia...
Gauss mixtures have gained popularity in statistics and statistical signal processing applications for a variety of reasons, including their ability to well approximatea large cla...
Embedded signal processing systems are usually associated with real-time constraints and/or high data rates so that fully software implementation are often not satisfactory. In th...
The tracking of prominent oscillations with time-varying frequencies is a common task in many signal processing applications. Therefore, efficient methods are needed to meet preci...
The Internet has instigated a critical need for automated tools that facilitate integrating countless databases. Since non-technical end users are often the ultimate repositories ...