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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li Chai Jingxin Zhang Yuxia Sheng |
| Copyright Year | 2009 |
| Description | Author affiliation: Engineering Research Center of Metallurgical Automation and Measurement Technology, and the Key Lab of Metallurgical Equipment and Control, Wuhan University of Science and Technology, 430081, China (Li Chai; Jingxin Zhang; Yuxia Sheng) |
| Abstract | For an oversampled linear phase (LP) perfect reconstruction filter banks with lattice structure, the synthesis FB is not unique. However, existing methods to choose a synthesis FB for “optimal” noise reduction may destroy the linear phase and lattice structure property. This paper studies the noise reduction design problem for oversampled filter banks (FBs) preserving lattice structure. Both the optimal design and worst case design are considered, where the former caters for the noise with known power spectral density (PSD), and the latter for the noise with unknown PSD. Explicit formula for the former and LMI-based algorithms for the latter are provided. |
| Starting Page | 1381 |
| Ending Page | 1386 |
| File Size | 250960 |
| Page Count | 6 |
| File Format | |
| ISBN | 9788995605622 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-27 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Subject Keyword | Image processing Noise reduction Lattices Nonlinear filters Quantization Oversampled filter banks Image reconstruction Optimal control noise reduction Filter bank Noise robustness Signal synthesis Lattice structure perfect construction |
| Content Type | Text |
| Resource Type | Article |
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