Signal Approximation with Second Generation Wavelets
Dr. Arun Kumar
SBC Technology Resources, Inc.
Austin, TX 77001-0481
Friday, January 29, 2:00 - 3:00 PM, ENS 302
Arun_Kumar@trimail.tri.sbc.com
Abstract
The efficient numerical representation of signals (or functions)
is a subject with many applications in engineering, physics, and
mathematics. This talk will discuss the approximation of functions
from the point of view of "second-generation" wavelet theory. The
second-generation theory breaks free of the first-generation theory's
reliance on Fourier methods. As a consequence wavelet analysis is
possible in situations where Fourier methods are inapplicable, or
inconvenient. Applications to compression, modulation, and computer
graphics will be discussed briefly. No prior familiarity with the
subject will be assumed.
Biography
Arun Kumar received a B.Tech. degree from the Indian Institute
of Technology, Kanpur, and M.S. and D.Sc. degrees from Washington
University in St. Louis. He worked as a computer hardware designer for
Bharat Electronics, Bangalore, India, for three years. For the last seven
years, he has been a Member of the Technical Staff at SBC Technology
Resources Inc. His interests include signal processing, communication
systems, compression, digital subscriber loops, computer architecture, and
applied mathematics.
A list of digital signal processing seminars is available at
from the ECE department Web pages under "Seminars".
The Web address for the digital signal processing seminars is
http://anchovy.ece.utexas.edu/seminars