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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Abolghasemi, V. Sanei, S. Ferdowsi, S. Ghaderi, F. Belcher, A. |
| Copyright Year | 2009 |
| Abstract | This paper presents an alternative way of random sampling of signals/images in the framework of compressed sensing. In spite of usual random samplers which take p measurements from the input signal, the proposed method uses M different samplers each taking p′(i = 1, 2, 3 … M) samples. Therefore, the overall number of samples will be q = M p′. Using this method a variable sampling criterion based on the content of the segments is achievable. Following this idea, the calculated measurement (or sensing) matrix is also more incoherent in columns comparing to other conventional methods which is a desired feature. Our experiments show that the reconstructed signal using this method has a better SNR and is more robust compared to the systems using one sampler. |
| Starting Page | 630 |
| Ending Page | 633 |
| File Size | 233651 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424427093 |
| e-ISBN | 9781424427116 |
| DOI | 10.1109/SSP.2009.5278498 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-31 |
| Publisher Place | United Kingdom |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Compressed sensing Signal sampling Sparse matrices Dictionaries Image segmentation Image coding Image sampling Sampling methods Image reconstruction Robustness thresholding compressed sensing incoherency ℓ1-norm random sampling sparsity |
| Content Type | Text |
| Resource Type | Article |
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