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Article overview
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Parallel Compressed Sensing Reconstruction | Hao Fang
; Sergiy A. Vorobyov
; Hai Jiang
; | Date: |
17 Aug 2013 | Abstract: | In this letter, a parallel reconstruction architecture for compressed sensing
is proposed. In this architecture, a measurement matrix is constructed from a
block-diagonal sensing matrix and the sparsifying basis of the target signal.
In this way, the projection of the signal onto the sparsifying basis can be
divided into several segments and all segments can be reconstructed in
parallel. Thus, the computational complexity and the time for reconstruction
can be reduced significantly. Furthermore, to reduce the number of measurements
needed to achieve the desired reconstruction error performance, permutation is
introduced for the projection of the signal. To implement permutation in the
parallel reconstruction architecture, only a modification is needed for the
measurement matrix at the encoder side, while decoding can be achieved in
parallel. | Source: | arXiv, 1308.3799 | Services: | Forum | Review | PDF | Favorites |
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