Compressed Sensing with Side Information on the Feasible Region Mohammad Rostami

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Mohammad Rostami - «Compressed Sensing with Side Information on the Feasible Region»

О книге

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. Это и многое другое вы найдете в книге Compressed Sensing with Side Information on the Feasible Region (Mohammad Rostami)

Полное название книги Mohammad Rostami Compressed Sensing with Side Information on the Feasible Region
Автор Mohammad Rostami
Ключевые слова компьютерные технологии, разработка и алгоритмы
Категории Компьютеры и Internet
ISBN 9783319003658
Издательство Springer Nature Customer Service Center LLC
Год 2013
Название транслитом compressed-sensing-with-side-information-on-the-feasible-region-mohammad-rostami
Название с ошибочной раскладкой compressed sensing with side information on the feasible region mohammad rostami