Adaptive chirplet based signal approximation

Author

Qian, Shie ; Chen, Dapang ; Yin, Qinye

Author_Institution

DSP Group, Nat. Instrum. Corp., Austin, TX, USA

Volume

3

fYear

1998

fDate

12-15 May 1998

Firstpage

1781

Abstract

The chirp function is one of the most fundamental functions in nature. Many natural events can be roughly approximated by a group of chirp functions. In this paper, we present a practical adaptive chirplet based signal approximation algorithm. Unlike the other chirplet decompositions known so far, the elementary chirplet functions employed in this algorithm are adaptive. Therefore, the resulting approximation could better match the underlying signal and uses fewer coefficients. The effectiveness of the algorithm is demonstrated by numerical simulations

Keywords

adaptive signal processing; amplitude modulation; chirp modulation; frequency modulation; function approximation; signal representation; time-frequency analysis; AM-FM model; adaptive chirplet; chirp function; chirplet decompositions; matching pursuit; numerical simulations; optimal chirplets; signal approximation algorithm; signal representation; Approximation algorithms; Birds; Bridges; Chirp; Digital signal processing; Human voice; Instruments; Ionosphere; Matching pursuit algorithms; Numerical simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on

Conference_Location

Seattle, WA

ISSN

1520-6149

Print_ISBN

0-7803-4428-6

Type

conf

DOI

10.1109/ICASSP.1998.681805

Filename

681805