Speaker: Dr. Mats Viberg

Title: Signal Processing for Computational Electromagnetics: Frequency Estimation and Excitation Signal Design

Date: April 18, 2003

Time: 3:00 pm

Location: GCATT Room 325

Abstract:
Computational electromagnetics generally deals with the problem of finding efficient and reliable solutions of Maxwell's equations. This is important in a variety of applications, such as antenna design and automatic target recognition. The most efficient numerical solutions are based on time-domain calculations. However, one is more often interested in the frequency characteristics of the solution.
Using the Fourier transform to determine the resonance frequencies and damping factors requires long time series, implying severe computational complexity. An attractive alternative is to apply high-resolution frequency estimation, developed in the signal processing society over the past few decades. This is a challenging problem, though, as the number of frequency components is typically on the order of one thousand. To overcome the difficulties, we propose a frequency-domain subspace method that yields accurate frequency and damping estimates in a selected frequency band. In addition, we use a traditional FIR-filter design to
determine a suitable excitation signal, thus yielding further suppression of out-of-band signal components. In total, the proposed approach reduces the required computation time by several orders of magnitude.

Biography:
Mats Viberg was born in Linköping, Sweden in 1961. He received the M.S. degree in Applied Mathematics in 1985 and the PhD degree in Electrical Engineering in 1989, both from Linköping University, Sweden. Dr. Viberg held visiting scholarships at the Information Systems Laboratory, Stanford University; and Dept of ECE, Brigham Young University. Since 1993, he is a Professor of Signal Processing at Chalmers University of Technology, Sweden; and since Jan. 1999 he serves as the department head. Dr. Viberg's research interests are in Statistical Signal Processing and its various applications. He received the IEEE Signal Processing Society's 1993 Paper Award and the 1999 Best Paper Award. Dr Viberg is since 2001 Chair of the IEEE Signal Processing Society's Technical Committee on Signal Processing Theory and Methods. In 2003, he was elected Fellow of the IEEE.

Slides: sem12_04_18_2003_Mats_Viberg.pdf

Speaker:	Dr. Mats Viberg
Title:	Signal Processing for Computational Electromagnetics: Frequency Estimation and Excitation Signal Design
Date:	April 18, 2003
Time:	3:00 pm
Location:	GCATT Room 325
Abstract:	Computational electromagnetics generally deals with the problem of finding efficient and reliable solutions of Maxwell's equations. This is important in a variety of applications, such as antenna design and automatic target recognition. The most efficient numerical solutions are based on time-domain calculations. However, one is more often interested in the frequency characteristics of the solution. Using the Fourier transform to determine the resonance frequencies and damping factors requires long time series, implying severe computational complexity. An attractive alternative is to apply high-resolution frequency estimation, developed in the signal processing society over the past few decades. This is a challenging problem, though, as the number of frequency components is typically on the order of one thousand. To overcome the difficulties, we propose a frequency-domain subspace method that yields accurate frequency and damping estimates in a selected frequency band. In addition, we use a traditional FIR-filter design to determine a suitable excitation signal, thus yielding further suppression of out-of-band signal components. In total, the proposed approach reduces the required computation time by several orders of magnitude.
Biography:	Mats Viberg was born in Linköping, Sweden in 1961. He received the M.S. degree in Applied Mathematics in 1985 and the PhD degree in Electrical Engineering in 1989, both from Linköping University, Sweden. Dr. Viberg held visiting scholarships at the Information Systems Laboratory, Stanford University; and Dept of ECE, Brigham Young University. Since 1993, he is a Professor of Signal Processing at Chalmers University of Technology, Sweden; and since Jan. 1999 he serves as the department head. Dr. Viberg's research interests are in Statistical Signal Processing and its various applications. He received the IEEE Signal Processing Society's 1993 Paper Award and the 1999 Best Paper Award. Dr Viberg is since 2001 Chair of the IEEE Signal Processing Society's Technical Committee on Signal Processing Theory and Methods. In 2003, he was elected Fellow of the IEEE.
Slides:	sem12_04_18_2003_Mats_Viberg.pdf