Sparse Representations and Compressive Sensing for Imaging and Vision
(Part of the SpringerBriefs in Electrical and Computer Engineering Series)
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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.
Format:Paperback
Language:English
ISBN:1461463807
ISBN13:9781461463801
Release Date:February 2013
Publisher:Springer
Length:102 Pages
Weight:0.41 lbs.
Dimensions:0.3" x 6.1" x 9.2"
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