Preface
The aim of t his book is to serve pedagogic goals as a complement of t he book Pattern Recognition,
4th Edition, by S. Theodoridis and K. Koutroumbas (Academic Press, 2009). It i s the offspring of
our experience in teaching pattern recognition for a number of years to different audiences such as
students with good enough mathematical background, students who are more practi ce-oriented, pro-
fessional engineers, and computer scient i sts attending short training courses. The book unravels along
two directions.
The first is to develop a set of MATLAB-based examples so t hat student s will be able to experiment
with methods and algorithms met in the various stages of designing a pattern recognition system—that
is, classifier design, feature