Sparse representations and compressive sensing for imaging and vision /
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| Author / Creator: | Patel, Vishal M. |
|---|---|
| Imprint: | Dordrecht : Springer, 2013. |
| Description: | 1 online resource (110 p.) |
| Language: | English |
| Series: | SpringerBriefs in Electrical and Computer Engineering SpringerBriefs in Electrical and Computer Engineering. |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/9849851 |
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| 100 | 1 | |a Patel, Vishal M. |0 http://id.loc.gov/authorities/names/nb2013010539 |1 http://viaf.org/viaf/301175072 | |
| 245 | 1 | 0 | |a Sparse representations and compressive sensing for imaging and vision / |c Vishal M. Patel, Rama Chellappa. |
| 260 | |a Dordrecht : |b Springer, |c 2013. | ||
| 300 | |a 1 online resource (110 p.) | ||
| 336 | |a text |b txt |2 rdacontent |0 http://id.loc.gov/vocabulary/contentTypes/txt | ||
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| 490 | 1 | |a SpringerBriefs in Electrical and Computer Engineering | |
| 505 | 0 | 0 | |t Compressive Sensing -- |t Compressive Acquisition -- |t Compressive Sensing for Vision -- |t Sparse Representation-based Object Recognition -- |t Dictionary Learning -- |t Concluding Remarks. |
| 520 | |a 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. | ||
| 505 | 0 | |a Compressive Sensing -- Compressive Acquisition -- Compressive Sensing for Vision -- Sparse Representation-based Object Recognition -- Dictionary Learning -- Concluding Remarks. | |
| 504 | |a Includes bibliographical references. | ||
| 588 | |a Description based on print version record. | ||
| 650 | 0 | |a Signal processing |x Digital techniques |x Mathematics. |0 http://id.loc.gov/authorities/subjects/sh94001318 | |
| 650 | 0 | |a Computer vision |x Mathematics. | |
| 650 | 4 | |a Imaging. | |
| 650 | 4 | |a Signal processing |x Mathematics. | |
| 650 | 4 | |a Signal processing. | |
| 650 | 4 | |a Vision. | |
| 655 | 4 | |a Electronic books. | |
| 650 | 7 | |a Computer vision. |2 fast |0 http://id.worldcat.org/fast/fst00872687 | |
| 650 | 7 | |a Engineering. |2 fast |0 http://id.worldcat.org/fast/fst00910312 | |
| 700 | 1 | |a Chellappa, Rama. |0 http://id.loc.gov/authorities/names/n85034527 |1 http://viaf.org/viaf/46844524 | |
| 776 | 0 | 8 | |i Print version: |a Patel, Vishal M. |t Sparse Representations and Compressive Sensing for Imaging and Vision |d Dordrecht : Springer, c2013 |z 9781461463801 |
| 830 | 0 | |a SpringerBriefs in Electrical and Computer Engineering. | |
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