Abstract
We propose an extension of Thomson's multiple window spectrum estimation for stationary random processes to the time-varying spectrum estimation of non-stationary random processes. Unlike previous extensions of Thomson's method, in this paper we identify and utilize optimally concentrated window and wavelet functions for the timefrequency and time-scale planes respectively. Moreover, we develop a statistical test for detecting and extracting chirping line components.
Original language | English (US) |
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Pages (from-to) | 174-185 |
Number of pages | 12 |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 2846 |
DOIs | |
State | Published - Oct 22 1996 |
Event | Advanced Signal Processing Algorithms, Architectures, and Implementations VI 1996 - Denver, United States Duration: Aug 4 1996 → Aug 9 1996 |
Keywords
- Multiple window method
- Non-stationary processes
- Spectrum estimation
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering