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
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;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.894511