Time-frequency decomposition for analysis and retrieval of 1-D signals

Author

Albanesi, Maria Grazia ; Ferretti, Marco ; Giancane, Alessandro

Author_Institution

Dipt. di Inf. e Sistemistica, Pavia Univ., Italy

Volume

2

fYear

1999

fDate

36342

Firstpage

974

Abstract

The time-frequency decomposition of wavelets is used to characterize 1D signals: the goal is to associate to each discrete signal a set of descriptors for fast retrieval in large database and/or recognition in noisy environment. Experiments are shown for an heterogeneous set of one dimensional signals, both synthetic and natural (audio signals). The efficacy of the method is tested against corruption by (white and colored) noise and/or attenuation, in order to simulate the transmission on noisy channels and LANs. Also the extension of the algorithm to 2D signals shows satisfactory results and it has been applied in a content based retrieval engine for image databases

Keywords

content-based retrieval; signal processing; visual databases; wavelet transforms; 1D signal analysis; 2D signals; LANs; content based retrieval engine; discrete signal; fast retrieval; image databases; large database; noisy channels; noisy environment; one dimensional signals; time-frequency decomposition; wavelets; Attenuation; Character recognition; Colored noise; Databases; Discrete wavelet transforms; Information retrieval; Testing; Time frequency analysis; White noise; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Computing and Systems, 1999. IEEE International Conference on

Conference_Location

Florence

Print_ISBN

0-7695-0253-9

Type

conf

DOI

10.1109/MMCS.1999.778622

Filename

778622