Segmented chirp features and hidden Gauss-Markov models for transient signal classification /
Time-frequency analysis and stochastic modeling techniques are combined in order to characterize and classify transient wandering-tone signals. A feature set is defined for segments of time-domain data. The features measure the chirp rate, center frequency, and amplitude of each segment. These featu...
| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
[Place of publication not identified] :
[publisher not identified] ;
2001.
|
| Subjects: | |
| Online Access: | http://proxy.library.tamu.edu/login?url=http://proquest.umi.com/pqdweb?did=728908671&sid=1&Fmt=2&clientId=2945&RQT=309&VName=PQD |
Internet
http://proxy.library.tamu.edu/login?url=http://proquest.umi.com/pqdweb?did=728908671&sid=1&Fmt=2&clientId=2945&RQT=309&VName=PQDCushing: Theses & Dissertations Microforms (Does not check out)
| Call Number: |
2001 Dissertation A35 |
|
|---|---|---|
| Call Number | Status | Get It |
| 2001 Dissertation A35 | Available | |
Available Online
| Call Number: |
2001 Dissertation A35 |
|
|---|---|---|
| Call Number | Status | Get It |
| 2001 Dissertation A35 | Available | |