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Sparse representations and compressive sensing for imaging and vision

Author: Vishal M Patel; Rama Chellappa
Publisher: New York : Springer, [2013]
Series: SpringerBriefs in electrical and computer engineering.
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
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  Read more...
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Details

Document Type: Book
All Authors / Contributors: Vishal M Patel; Rama Chellappa
ISBN: 1461463807 9781461463801
OCLC Number: 821217431
Description: x, 102 pages : illustrations ; 24 cm.
Contents: Compressive Sensing --
Compressive Acquisition --
Compressive Sensing for Vision --
Sparse Representation-based Object Recognition --
Dictionary Learning --
Concluding Remarks.
Series Title: SpringerBriefs in electrical and computer engineering.
Responsibility: Vishal M. Patel, Rama Chellappa.
More information:

Abstract:

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.

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