DocumentCode
1740056
Title
An efficient algorithm for adaptive chirplet-based signal decomposition
Author
Hong, Zou ; Zheng, Bao
Author_Institution
Lab. for Radar Signal Process., Xidian Univ., Xi´´an, China
Volume
1
fYear
2000
fDate
2000
Firstpage
366
Abstract
Adaptive chirplet decomposition is an efficient approach in the time frequency structure analysis of chirp signals. Its key problem lies on the chirplet estimation, which will greatly affect the decomposition results and hence is a major difficulty at present. A simple numerical algorithm for estimating the chirplet with high accuracy is proposed, with which the signal structure can be represented more clearly. Simulation results confirm the algorithm
Keywords
Gaussian processes; adaptive signal processing; parameter estimation; signal representation; time-frequency analysis; Gaussian chirp signals; adaptive chirplet-based signal decomposition; chirplet estimation; efficient algorithm; numerical algorithm; parameter estimation; signal structure representation; simulation results; time frequency structure analysis; Chirp; Fourier transforms; Parameter estimation; Radar signal processing; Signal analysis; Signal processing; Signal processing algorithms; Signal resolution; Spectrogram; Time frequency analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-5747-7
Type
conf
DOI
10.1109/ICOSP.2000.894511
Filename
894511
Link To Document