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Content Provider | IEEE Xplore Digital Library |
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Author | Frauche, A.L.V. de Carvalho, M.B. da Silva, E.A.B. |
Copyright Year | 2008 |
Description | Author affiliation: Univ. Fed. do Rio de Janeiro, Rio de Janeiro (da Silva, E.A.B.) || TET/CTC, Univ. Fed. Fluminense, Niteroi (Frauche, A.L.V.; de Carvalho, M.B.) |
Abstract | In this work we use the multidimensional multiscale parser (MMP) algorithm to compress three-dimensional data from weather radar. MMP is based on approximate multiscale pattern matching. MMP encodes segments of an input signal using expanded and contracted versions of patterns stored in a dictionary. The dictionary is updated using concatenated and displaced versions of previously encoded segments, therefore MMP builds its own dictionary while the input data is being encoded. MMP can be adapted to compress signals of any number of dimensions, and has been successfully applied to compress two-dimensional image data and one-dimensional ECG and EMG signals. We show simulation results where our 3D version of MMP outperforms some of the best encoders in the literature. |
Starting Page | 1049 |
Ending Page | 1052 |
File Size | 219984 |
Page Count | 4 |
File Format | |
ISBN | 9781424417650 |
ISSN | 15224880 |
DOI | 10.1109/ICIP.2008.4711938 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-10-12 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Meteorological radar Image coding Dictionaries Pattern matching Multidimensional systems Image segmentation Data compression Concatenated codes Electrocardiography Electromyography 3D radar data Recurrent Pattern Matching Multiscale Decomposition Vector Quantization |
Content Type | Text |
Resource Type | Article |
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