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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
Published in:
Aerospace and Electronics Conference, 1992. NAECON 1992., Proceedings of the IEEE 1992 National
Date of Conference: 18-22 May 1992
- Page(s):
- 381 - 387 vol.1
- Meeting Date :
- 18 May 1992-22 May 1992
- Print ISBN:
- 0-7803-0652-X
- INSPEC Accession Number:
- 4395058
- Conference Location :
- Dayton, OH
- Digital Object Identifier :
- 10.1109/NAECON.1992.220543
- Product Type:
- Conference Publications
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