ECE 8423: ADAPTIVE SIGNAL PROCESSING
Dr. Joseph Picone
Department of Electrical and Computer Engineering
Mississippi State University
phone: 662-312-4209; office: 228 Simrall
Signal processing is a field devoted to the extraction of information
from signals, both analog and digital. In this course, we will focus
on the analysis and development of digital signal processing
algorithms. These algorithms are typically implemented in software on
general purpose computing devices, though there is no reason many of
these algorithms cannot be implemented in special purpose hardware.
Adaptive systems are devices that adjust themselves to an
ever-changing environment. Often the goal is to improve performance
through continuous interaction with its surrounding
environment. Adaptive signal processing deals with the design of such
systems for signal processing applications. These systems are often
based on statistical methods. Important considerations include
off-line vs. online adaptation, supervised vs. unsupervised, and
feedforward vs. feedback control. Machine learning today plays an
integral role in adaptive signal processing applications.
Questions or comments about the material presented here can be
directed to firstname.lastname@example.org.