An attractive approach to distributed multiresolutional estimation

Author

Hong, Lang

Author_Institution

Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA

fYear

1992

fDate

18-22 May 1992

Firstpage

381

Abstract

An optimal algorithm for multiresolutional estimation is derived using wavelet transforms. Distributed filtering with feedback is used. Wavelet transforms are utilized as a bridge linking different resolution levels, and to convert dense error covariance matrices into sparse ones. Therefore, computationally efficient algorithms can be obtained. The algorithm can be employed for dynamic multiresolutional sensor/data fusion. The discrete wavelet transformation is reviewed, with particular emphasis on wavelet transformations on random sequences

Keywords

feedback; filtering and prediction theory; image processing; sensor fusion; wavelet transforms; 3D; computationally efficient algorithms; data fusion; discrete wavelet transformation; distributed filtering; distributed multiresolutional estimation; dynamic multiresolutional sensor; error covariance matrices; feedback; multiresolutional estimation; optimal algorithm; random sequences; Cameras; Filtering; Layout; Sensor systems; Signal processing algorithms; Signal resolution; State estimation; Stochastic processes; Time measurement; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Aerospace and Electronics Conference, 1992. NAECON 1992., Proceedings of the IEEE 1992 National

Conference_Location

Dayton, OH

Print_ISBN

0-7803-0652-X

Type

conf

DOI

10.1109/NAECON.1992.220543

Filename

220543