Anthony Teolis, Ph.D.

Dr. Anthony Teolis, Head, Advanced Signal Processing of AIMS, received his B.S. degree in Electrical Engineering from the University of Rhode Island and his M.S. and Ph.D. degrees in Electrical Engineering from the University of Maryland in 1989, and 1993, respectively. Over the past six years, Dr. Teolis has conducted research in wavelet theory, irregular sampling theory, discrete signal representation, signal classification, speech compression, pattern recognition, and neural network algorithm development. Along with the theoretical work involved with his graduate research in control, communications and applied mathematics, he has also developed numerous software applications for signal processing, pattern recognition, three-dimensional modeling and graphical simulation. His current research interests involve the development of theory and applications of continuous wavelet transforms and irregular sampling theory to signal classification, signal compression, and noise suppression. He is the author of the textbook Computational Signal Processing with Wavelets which has associated with it a MATLAB based software package for wavelet processing called the
  Wavelet Signal Processing Workstation.