Sampling theorems for signals from the union of finite-dimensional linear subspaces
Compressed sensing is an emerging signal acquisition technique that enables signals to be sampled well below the Nyquist rate, given that the signal has a sparse representation in an orthonormal basis. In fact, sparsity in an orthonormal basis is only one possible signal model that allows for sampli...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
2009-04.
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| Subjects: | |
| Online Access: | Get fulltext |