Cognitive Electronic Warfare and Autonomous Spectrum Management (Volume-III): Engineering Resilient SDR Systems with Deep Reinforcement Learning and ... Paradigm: 3 (The Cognitive Spectrum Series) - Softcover
Book 3 of 3: The Cognitive Spectrum Series
Synopsis
Cognitive Electronic Warfare and Autonomous Spectrum Management — Volume III
Edge AI, Distributed Electromagnetic Intelligence, and Autonomous Spectrum Warfare
The electromagnetic battlespace is becoming autonomous.
As edge AI, distributed cognition, RFSoCs, and intelligent wireless systems converge, the next generation of spectrum warfare is shifting from centralized control toward machine-speed autonomous coordination across contested electromagnetic environments.
Volume III of The Cognitive Spectrum Series explores the execution layer of intelligent spectrum systems—where AI inference, SDR architectures, distributed decision systems, and real-time RF orchestration merge into adaptive electromagnetic ecosystems.
Blending:
- Edge AI inferencing,
- RFSoC acceleration,
- FPGA execution pipelines,
- distributed cognitive networking,
- adversarial machine learning,
- autonomous EW architectures,
- and real-time SDR orchestration,
this volume presents a systems-engineering framework for understanding how future wireless systems will operate under extreme latency, bandwidth, synchronization, and adversarial constraints.
Topics include:
- TensorRT and ONNX Runtime
- RFSoC and FPGA acceleration
- Zero-copy SDR architectures
- Shared-memory inference pipelines
- Distributed spectrum intelligence
- AI-native wireless orchestration
- GNSS spoofing and navigation warfare
- Cognitive mesh networking
- Adversarial machine learning in RF
- Autonomous EW coordination
- Real-time scheduling systems
- Edge AI for SDR platforms
- Future 6G and THz systems
Designed for:
- RF engineers,
- SDR developers,
- FPGA architects,
- AI researchers,
- defense technologists,
- edge-computing engineers,
- and advanced wireless systems designers,
this volume bridges the gap between theoretical AI systems and operational autonomous electromagnetic architectures.
The future of spectrum warfare will not be manually controlled.
It will be coordinated by intelligent machines operating at machine speed.
"synopsis" may belong to another edition of this title.
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Cognitive Electronic Warfare and Autonomous Spectrum Management (Volume-III): Engineering Resilient SDR Systems with Deep Reinforcement Learning and the STAR Paradigm (The Cognitive Spectrum Series)
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Cognitive Electronic Warfare and Autonomous Spectrum Management (Volume-III)
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Cognitive Electronic Warfare and Autonomous Spectrum Management (Volume-III) (Paperback)
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Paperback. Condition: new. Paperback. Cognitive Electronic Warfare and Autonomous Spectrum Management - Volume IIIEdge AI, Distributed Electromagnetic Intelligence, and Autonomous Spectrum WarfareThe electromagnetic battlespace is becoming autonomous.As edge AI, distributed cognition, RFSoCs, and intelligent wireless systems converge, the next generation of spectrum warfare is shifting from centralized control toward machine-speed autonomous coordination across contested electromagnetic environments.Volume III of The Cognitive Spectrum Series explores the execution layer of intelligent spectrum systems-where AI inference, SDR architectures, distributed decision systems, and real-time RF orchestration merge into adaptive electromagnetic ecosystems.Blending: Edge AI inferencing, RFSoC acceleration, FPGA execution pipelines, distributed cognitive networking, adversarial machine learning, autonomous EW architectures, and real-time SDR orchestration, this volume presents a systems-engineering framework for understanding how future wireless systems will operate under extreme latency, bandwidth, synchronization, and adversarial constraints.Topics include: TensorRT and ONNX RuntimeRFSoC and FPGA accelerationZero-copy SDR architecturesShared-memory inference pipelinesDistributed spectrum intelligenceAI-native wireless orchestrationGNSS spoofing and navigation warfareCognitive mesh networkingAdversarial machine learning in RFAutonomous EW coordinationReal-time scheduling systemsEdge AI for SDR platformsFuture 6G and THz systemsDesigned for: RF engineers, SDR developers, FPGA architects, AI researchers, defense technologists, edge-computing engineers, and advanced wireless systems designers, this volume bridges the gap between theoretical AI systems and operational autonomous electromagnetic architectures.The future of spectrum warfare will not be manually controlled.It will be coordinated by intelligent machines operating at machine speed. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798197555113
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Cognitive Electronic Warfare and Autonomous Spectrum Management (Volume-III) : Engineering Resilient SDR Systems with Deep Reinforcement Learning and the STAR Paradigm
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Taschenbuch. Condition: Neu. Neuware - Cognitive Electronic Warfare and Autonomous Spectrum Management - Volume IIIEdge AI, Distributed Electromagnetic Intelligence, and Autonomous Spectrum WarfareThe electromagnetic battlespace is becoming autonomous.As edge AI, distributed cognition, RFSoCs, and intelligent wireless systems converge, the next generation of spectrum warfare is shifting from centralized control toward machine-speed autonomous coordination across contested electromagnetic environments.Volume III of The Cognitive Spectrum Series explores the execution layer of intelligent spectrum systems-where AI inference, SDR architectures, distributed decision systems, and real-time RF orchestration merge into adaptive electromagnetic ecosystems.Blending: - Edge AI inferencing, - RFSoC acceleration, - FPGA execution pipelines, - distributed cognitive networking, - adversarial machine learning, - autonomous EW architectures, - and real-time SDR orchestration, this volume presents a systems-engineering framework for understanding how future wireless systems will operate under extreme latency, bandwidth, synchronization, and adversarial constraints.Topics include: - TensorRT and ONNX Runtime- RFSoC and FPGA acceleration- Zero-copy SDR architectures- Shared-memory inference pipelines- Distributed spectrum intelligence- AI-native wireless orchestration- GNSS spoofing and navigation warfare- Cognitive mesh networking- Adversarial machine learning in RF- Autonomous EW coordination- Real-time scheduling systems- Edge AI for SDR platforms- Future 6G and THz systemsDesigned for: - RF engineers, - SDR developers, - FPGA architects, - AI researchers, - defense technologists, - edge-computing engineers, - and advanced wireless systems designers, this volume bridges the gap between theoretical AI systems and operational autonomous electromagnetic architectures.The future of spectrum warfare will not be manually controlled.It will be coordinated by intelligent machines operating at machine speed. Seller Inventory # 9798197555113