Name
Abstract | ||
|---|---|---|
This paper describes a new method for the simultaneous detection and parametric estimation of multiple chirped waveforms using a method based on evolutionary algorithms. Unlike traditional time-frequency analyzers, which provide a distribution of the signal spectrum over a period of time but do not inherently provide chirp parameters. this new method detects and provides as an output the start and stop frequencies of each chirp, its starting phase and amplitude. The new method is capable of detecting and characterizing multiple chirps which may be overlapping (in time and frequency) and in the presence of significant noise. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/ICASSP.2003.1201635 | 2003 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL VI, PROCEEDINGS: SIGNAL PROCESSING THEORY AND METHODS |
Keywords | Field | DocType |
signal processing,time frequency,wigner distribution,time frequency analysis,phase detection,evolutionary computation,chirp,evolutionary algorithm,parameter estimation,signal detection,evolutionary algorithms,spectrum,signal spectrum | Signal processing,Wigner distribution function,Detection theory,Pattern recognition,Computer science,Chirp,Artificial intelligence,Time–frequency analysis,Estimation theory,Phase detector,Phase frequency detector | Conference |
Citations | PageRank | References |
5 | 0.86 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jasdeep S. Dhanoa | 1 | 5 | 1.19 |
| Evan J. Hughes | 2 | 198 | 15.51 |
| Richard F. Ormondroyd | 3 | 14 | 3.49 |