The Information Processing and Machine Learning Laboratory (IPML) supports research in theoretical algorithm development in digital signal processing, adaptive and nonlinear signal processing, machine ...

Guided by the U.S. Army Research Laboratory, researchers from the Bradley Department of Electrical and Computer Engineering at Virginia Polytechnic Institute and State University are examining the ...

The master’s in machine learning engineering from Drexel Engineering provides the skills needed to take on the transformation of science and technology and a successful career in an exciting ...

Signal processing is a multidisciplinary field concerned with the analysis, transformation, and interpretation of signals—functions that convey information about physical phenomena. At its core, ...

Genomic signal processing (GSP) is an interdisciplinary field that integrates methodologies from digital signal processing with genomics to elucidate the underlying structure of DNA. Central to this ...

Machine learning is based on the idea that a system can learn to perform a task without being explicitly programmed. Machine learning has a wide range of applications in the finance, healthcare, ...

Matthew Bird has previously received funding from the Department of Defense. The views expressed in this manuscript are those of the author and do not necessarily reflect the views, opinions, or ...