Sparse representations and compressive sensing for imaging and vision /
Compressed sensing or compressive sensing is a new concept in signal processing where one measures a small number of non-adaptive linear combinations of the signal. These measurements are usually much smaller than the number of samples that define the signal. From these small numbers of measuremen...
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer New York
2013.
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| Series: | SpringerBriefs in Electrical and Computer Engineering
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| Subjects: | |
| Online Access: | Click here to view the full text content |
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| Summary: | Compressed sensing or compressive sensing is a new concept in signal processing where one measures a small number of non-adaptive linear combinations of the signal. These measurements are usually much smaller than the number of samples that define the signal. From these small numbers of measurements, the signal is then reconstructed by non-linear procedure. Compressed sensing has recently emerged as a powerful tool for efficiently processing data in non-traditional ways. In this book, we highlight some of the key mathematical insights underlying sparse representation and compressed sensing and illustrate the role of these theories in classical vision, imaging and biometrics problems. |
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| Physical Description: | 1 online resource (X, 102 pages) 41 illustration. |
| ISBN: | 9781461463818 |
| ISSN: | 2191-8112 |