Type of Document Master's Thesis Author Cheng, Siuling URN etd-03122013-040100 Title Signal reconstruction from discrete-time Wigner distribution Degree Master of Science Department Electrical Engineering Advisory Committee
Advisor Name Title Yu, Kai Bor Committee Chair deWolf, David A. Committee Member Ha, Tri Thuc Committee Member Keywords
- Signal processing
Date of Defense 1985-03-18 Availability restricted Abstract
Wigner distribution is considered to be one of the most powerful tools for time-frequency analysis of rumvstationary signals. Wigner distribution is a bilinear signal transformation which provides two dimensional time-frequency characterization of one dimensional signals. Although much work has been done recently in signal analysis and applications using Wigner distribution, not many synthesis methods for Wigner distribution have been reported in the literature.
This thesis is concerned with signal synthesis from discrete-time Wigner distribution and from discrete-time pseudo-Wigner distribution and their applications in noise filtering and signal separation. Various algorithms are developed to reconstruct signals from the modified or specified Wigner distribution and pseudo-Wigner distribution which generally do not have a valid Wigner distributions or valid pseudo-Wigner distribution structures. These algorithms are successfully applied to the noise filtering and signal separation problems.
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