{ "item_title" : "Deep Learning for Radio Frequency Automatic Target Recognition", "item_author" : [" Uttam K. Majumder", "Erik P. Blasch", "David Garren "], "item_description" : "This exciting resource identifies technical challenges, benefits, and directions of Deep Learning (DL) based object classification using radar data (i.e., Synthetic Aperture Radar / SAR and High range resolution Radar / HRR data). An overview of machine learning (ML) theory to include a history, background primer, and example and performance of ML algorithm (i.e., DL method) on video imagery is provided. Radar data with issues of collection, application, and examples for SAR/HRR data and communication signals analysis is also discussed. Practical considerations of deploying such techniques, including performance evaluation, hardware issues, and the future unresolved issues are presented.--Amazon.com ", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/63/081/637/163081637X_b.jpg", "price_data" : { "retail_price" : "144.00", "online_price" : "144.00", "our_price" : "144.00", "club_price" : "144.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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