Compressed Sensing with Side Information on the Feasible Region (Record no. 58173)

000 -LEADER
fixed length control field 03303nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-3-319-00366-5
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421112234.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130516s2013 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319003665
-- 978-3-319-00366-5
082 04 - CLASSIFICATION NUMBER
Call Number 006.6
100 1# - AUTHOR NAME
Author Rostami, Mohammad.
245 10 - TITLE STATEMENT
Title Compressed Sensing with Side Information on the Feasible Region
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIII, 69 p. 20 illus.
490 1# - SERIES STATEMENT
Series statement SpringerBriefs in Electrical and Computer Engineering,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- Compressed Sensing -- Compressed Sensing with Side Information on Feasible Region -- Application: Image Deblurring for Optical Imaging -- Application: Surface Reconstruction in Gradient Field -- Conclusions and Future Work.
520 ## - SUMMARY, ETC.
Summary, etc This book discusses compressive sensing in the presence of side information. Compressive sensing is an emerging technique for efficiently acquiring and reconstructing a signal. Interesting instances of Compressive Sensing (CS) can occur when, apart from sparsity, side information is available about the source signals. The side information can be about the source structure, distribution, etc. Such cases can be viewed as extensions of the classical CS. In these cases we are interested in incorporating the side information to either improve the quality of the source reconstruction or decrease the number of samples required for accurate reconstruction. In this book we assume availability of side information about the feasible region. The main applications investigated are image deblurring for optical imaging, 3D surface reconstruction, and reconstructing spatiotemporally correlated sources. The author shows that the side information can be used to improve the quality of the reconstruction compared to the classic compressive sensing. The book will be of interest to all researchers working on compressive sensing, inverse problems, and image processing.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-00366-5
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Heidelberg :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2013.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
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347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer graphics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer mathematics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Statistical physics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Dynamical systems.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Imaging, Vision, Pattern Recognition and Graphics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal, Image and Speech Processing.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Statistical Physics, Dynamical Systems and Complexity.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Science and Engineering.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2191-8112
912 ## -
-- ZDB-2-ENG

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