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소개
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Contents
Chapter 1: Deep Algorithm Unrolling for Radar Waveform Design Chapter 2: Model-Based Reinforcement Learning for ISAC Chapter 3: Low-Resolution Processing with Deep Learning Chapter 4: Reinforcement Learning for Intelligent Radar Target Detection Chapter 5: Learning Approaches for Detection and Mapping in Autonomous Agents’ Networks Chapter 6: Sparse Antenna Array Interpolation with Model-Based Machine Learning and Deep Frequency Attention Networks Chapter 7: Tensorized Neural Networks in Array Signal Processing Chapter 8: SAR Image Interpretation with Deep Neural Networks Chapter 9: Data-driven Kalman Filter for Target Tracking Chapter 10: Physics-aware Deep Learning Techniques for Radar-based Human Activity Recognition Chapter 11: Data-driven Resource Allocation in Distributed Radar Network |
저자 소개
YUJIE GU, PhD, is a Senior Radar Scientist at Aptiv Advanced Engineering Center, Agoura Hills, California. He is a Subject Editor-in-Chief of Electronics Letters, an Editor of Signal Processing, and an elected member of the Sensor Array and Multichannel (SAM) Technical Committee. He is a Fellow of IEEE, a Fellow of EURASIP, and a Fellow of SPIE.
YIMIN D. ZHANG, PhD, is an Associate Professor with the Department of Electrical and Computer Engineering at Temple University, Philadelphia, Pennsylvania. He is a Senior Area Editor of IEEE Transactions on Signal Processing. He is a Fellow of IEEE, a Fellow of SPIE, and a Distinguished Lecturer of the IEEE Signal Processing Society.
품목정보
- 발행일
- 2026년 11월 05일
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- ISBN13
- 9781394339976
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