Signal reconstruction from discrete-time Wigner distribution
<p>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...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Others |
| Published: |
Virginia Tech
2014
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10919/41550 http://scholar.lib.vt.edu/theses/available/etd-03122013-040100/ |
| Summary: | <p>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.</p>
<p>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.</p> === Master of Science |
|---|