{
"item_title" : "Compressive Sensing for Urban Radar",
"item_author" : [" Moeness Amin "],
"item_description" : "This is the first book to focus on a hybrid of compressive and urban sensing. It explains how reliable imaging, tracking, and localization of indoor targets can be achieved using compressed observations that amount to a tiny percentage of the entire data volume. Capturing the latest and most important advances in the field, this state-of-the-art text includes successful applications of compressive sensing for target detection and revealing building interiors, sparse reconstruction techniques for urban environments, and supporting examples using real data and computational electromagnetic modeling.",
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Overview
This is the first book to focus on a hybrid of compressive and urban sensing. It explains how reliable imaging, tracking, and localization of indoor targets can be achieved using compressed observations that amount to a tiny percentage of the entire data volume. Capturing the latest and most important advances in the field, this state-of-the-art text includes successful applications of compressive sensing for target detection and revealing building interiors, sparse reconstruction techniques for urban environments, and supporting examples using real data and computational electromagnetic modeling.
This item is Non-Returnable
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Details
- ISBN-13: 9781138073401
- ISBN-10: 1138073407
- Publisher: CRC Press
- Publish Date: March 2017
- Dimensions: 9.21 x 6.14 x 1.03 inches
- Shipping Weight: 1.56 pounds
- Page Count: 508
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