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OCoLC |
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20240329122006.0 |
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m o d |
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230209s2022 xx o ||| 0 eng d |
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|a EBLCP
|b eng
|c EBLCP
|d OCLCQ
|d OCLCO
|d EBLCP
|d OCLCQ
|d REDDC
|d OCLCO
|d OCLCQ
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| 019 |
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|a 1369668162
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| 020 |
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|a 9781630819019
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| 020 |
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|a 1630819018
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| 035 |
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|a (OCoLC)1369662100
|z (OCoLC)1369668162
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| 050 |
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4 |
|a TK5102.9
|b .C658 2023
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| 082 |
0 |
4 |
|a 621.3848
|q OCoLC
|2 23/eng/20230110
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| 049 |
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|a UAMI
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| 100 |
1 |
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|a Coluccia, Angelo.
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| 245 |
1 |
0 |
|a Adaptive Radar Detection
|h [electronic resource].
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| 260 |
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|a Norwood :
|b Artech House,
|c 2022.
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| 300 |
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|a 1 online resource (235 p.)
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| 500 |
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|a Description based upon print version of record.
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| 505 |
0 |
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|a Intro -- Adaptive Radar Detection Model-Based, Data-Driven, and Hybrid Approaches -- Contents -- Preface -- Acknowledgments -- 1 Model-Based Adaptive Radar Detection -- 1.1 Introduction to Radar Processing -- 1.1.1 Generalities and Basic Terminology of Coherent Radars -- 1.1.2 Array Processing and Space-Time Adaptive Processing -- 1.1.3 Target Detection and Performance Metrics -- 1.2 Unstructured Signal in White Noise -- 1.2.1 Old but Gold: Basic Signal Detection and the Energy Detector -- 1.2.2 The Neyman-Pearson Approach -- 1.2.3 Adaptive CFAR Detection
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| 505 |
8 |
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|a 1.2.4 Correlated Signal Model in White Noise -- 1.3 Structured Signal in White Noise -- 1.3.1 Detection of a Structured Signal in White Noise and Matched Filter -- 1.3.2 Generalized Likelihood Ratio Test -- 1.3.3 Detection of an Unknown Rank-One Signal in White Noise -- 1.3.4 Steering Vector Known up to a Parameter and Doppler Processing -- 1.4 Adaptive Detection in Colored Noise -- 1.4.1 One-Step, Two-Step, and Decoupled Processing -- 1.4.2 General Hypothesis Testing Problem via GLRT: A Comparison -- 1.4.3 Behavior under Mismatched Conditions: Robustness vs Selectivity
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| 505 |
8 |
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|a 1.4.4 Model-Based Design of Adaptive Detectors -- 1.5 Summary -- References -- 2 Classification Problems and Data-Driven Tools -- 2.1 General Decision Problems and Classification -- 2.1.1 M-ary Decision Problems -- 2.1.2 Classifiers and Decision Regions -- 2.1.3 Binary Classification vs Radar Detection -- 2.1.4 Signal Representation and Universal Approximation -- 2.2 Learning Approaches and Classification Algorithms -- 2.2.1 Statistical Learning -- 2.2.2 Bias-Variance Trade-Off -- 2.3 Data-Driven Classifiers -- 2.3.1 k-Nearest Neighbors
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| 505 |
8 |
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|a 2.3.2 Linear Methods for Dimensionality Reduction and Classification -- 2.3.3 Support Vector Machine and Kernel Methods -- 2.3.4 Decision Trees and Random Forests -- 2.3.5 Other Machine Learning Tools -- 2.4 Neural Networks and Deep Learning -- 2.4.1 Multilayer Perceptron -- 2.4.2 Feature Engineering vs Feature Learning -- 2.4.3 Deep Learning -- 2.5 Summary -- References -- 3 Radar Applications of Machine Learning -- 3.1 Data-Driven Radar Applications -- 3.2 Classification of Communication and Radar Signals -- 3.2.1 Automatic Modulation Recognition and Physical-Layer Applications
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| 505 |
8 |
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|a 3.2.2 Datasets and Experimentation -- 3.2.3 Classification of Radar Signals and Radiation Sources -- 3.3 Detection Based on Supervised Machine Learning -- 3.3.1 SVM-Based Detection with Controlled PFA -- 3.3.2 Decision Tree-Based Detection with Controlled PFA -- 3.3.3 Revisiting the Neyman-Pearson Approach -- 3.3.4 SVM and NN for CFAR Processing -- 3.3.5 Feature Spaces with (Generalized) CFAR Property -- 3.3.6 Deep Learning Based Detection -- 3.4 Other Approaches -- 3.4.1 Unsupervised Learning and Anomaly Detection -- 3.4.2 Reinforcement Learning -- 3.5 Summary -- References
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| 500 |
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|a 4 Hybrid Model-Based and Data-Driven Detection
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| 590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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| 650 |
|
0 |
|a Adaptive signal processing.
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| 650 |
|
6 |
|a Traitement adaptatif du signal.
|
| 655 |
|
0 |
|a Electronic books.
|
| 776 |
0 |
8 |
|i Print version:
|a Coluccia, Angelo
|t Adaptive Radar Detection: Model-Based, Data-Driven and Hybrid Approaches
|d Norwood : Artech House,c2022
|z 9781630819002
|
| 856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=30339945
|z Texto completo
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| 938 |
|
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|a ProQuest Ebook Central
|b EBLB
|n EBL30339945
|
| 994 |
|
|
|a 92
|b IZTAP
|
