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Sparse Representations and Compressive Sensing for Imaging and Vision: SpringerBriefs in Electrical and Computer Engineering

Autor Vishal M. Patel, Rama Chellappa
en Limba Engleză Paperback – 8 feb 2013
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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Specificații

ISBN-13: 9781461463801
ISBN-10: 1461463807
Pagini: 112
Ilustrații: X, 102 p. 41 illus.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.19 kg
Ediția:2013
Editura: Springer
Colecția Springer
Seria SpringerBriefs in Electrical and Computer Engineering

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

Introduction.- Compressive Sensing.- Compressive Acquisition.- Compressive Sensing for Vision.- Sparse Representation-based Object Recognition.- Dictionary Learning.- Concluding Remarks.

Caracteristici

Includes supplementary material: sn.pub/extras