Title :
Fusing multiresolutional data using filter banks
Author_Institution :
Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA
fDate :
29 June-1 July 1994
Abstract :
In this paper, an algorithm for optimal and dynamic multiresolutional distributed filtering for measurements with arbitrary resolutions is derived. A mapping scheme among different resolution levels is devised. The wavelet transform is employed as a basic tool linking signals at different resolution levels. The effectiveness of the algorithm is demonstrated in an example.
Keywords :
filtering theory; sensor fusion; wavelet transforms; filter banks; mapping scheme; multiresolutional data; multiresolutional distributed filtering; resolution levels; wavelet transform; Channel bank filters; Data engineering; Discrete wavelet transforms; Filter bank; Filtering algorithms; Joining processes; Power measurement; Signal resolution; Time measurement; Wavelet transforms;
Conference_Titel :
American Control Conference, 1994
Print_ISBN :
0-7803-1783-1
DOI :
10.1109/ACC.1994.752271
