Rostami mohammad (65 resultados)

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Paperback. Condición: New. Mixed-matrix membranes are identified as a new type of membranes being more efficient due to the inorganic particles in their structure. In industry they can be a good substitute for old methods which consume a lot of energy. Thus, the present research scrutinizes different filling particles used in this group of membranes, applications, shortcomings and the challenges of producing these types of membranes. This book explains the key parameters in the fabrication methods through blending of polymeric and non-polymeric materials containing different components in their chemical structures. It is a complete overview of all relevant and similar references in the field of membrane technology in oil, gas and petrochemicals, by considering standards and the way of performing separation techniques and implementing projects.…

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Paperback. Condición: Brand New. 2013 edition. 69 pages. 9.00x6.00x0.25 inches. In Stock.

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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

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Condición: New. 1st edition NO-PA16APR2015-KAP.

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Paperback. Condición: New. Mixed-matrix membranes are identified as a new type of membranes being more efficient due to the inorganic particles in their structure. In industry they can be a good substitute for old methods which consume a lot of energy. Thus, the present research scrutinizes different filling particles used in this group of membranes, applications, shortcomings and the challenges of producing these types of membranes. This book explains the key parameters in the fabrication methods through blending of polymeric and non-polymeric materials containing different components in their chemical structures. It is a complete overview of all relevant and similar references in the field of membrane technology in oil, gas and petrochemicals, by considering standards and the way of performing separation techniques and implementing projects.…

Condición: New. In English.

Condición: New. 1st edition NO-PA16APR2015-KAP.

Condición: New. In English.

Paperback. Condición: Brand New. 220 pages. 10.00x7.00x0.50 inches. In Stock.

Taschenbuch. Condición: Neu. Compressed Sensing with Side Information on the Feasible Region | Mohammad Rostami | Taschenbuch | SpringerBriefs in Electrical and Computer Engineering | xiii | Englisch | 2013 | Springer | EAN 9783319003658 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

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Condición: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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.…

Condición: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

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