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Full Description
Signal Processing Roadmap: Technologies, Applications, and Future Directions explores cutting-edge and emerging signal-processing techniques across various measurement and monitoring applications, serving as an authoritative reference for engineers, researchers, and technologists. The book critically analyzes key signal processing considerations such as uncertainty modeling that enable more intelligent and reliable next-generation measurement systems, all of which are backed by real-world implementation examples in areas ranging from Internet of Things devices to complex biomedical equipment. In addition, sections provide an overview of the latest research in the hybrid information system modeling field, with a particular emphasis on practical applications in various fields.
The book includes case studies and examples of how these models have been used to solve problems in finance, healthcare, engineering, and other related fields. Finally, the book reviews the theories and concepts related to non-linear optimization, fuzzy sets, and rough sets.
Contents
1. Foundations of Signal Processing: A Comprehensive Overview
2. Frontiers in Digital and Analog Signal Processing Circuits and Systems in the era of Artificial Intelligence (AI)
3. Sustainable 6G Connectivity through AI-Powered Energy Efficiency
4. Computing Requirements and Techniques to Support Signal Processing
5. Signal Processing: Potential Applications, Trends, and Challenges
6. Signal Processing for Localization and Sensing Techniques in Next Generation Wireless Networks (NWGNs)
7. Advanced Signal Processing Techniques for Non-Orthogonal Multiple Access in 6G Networks
8. Signal Processing Innovations for improved 6G ubiquitous connectivity: Paving the path towards integrated Space-Ground-Underwater Networks
9. Advanced real-time signal processing techniques for adaptive beamforming in Beyond 5G wireless networks
10. Signal Processing for Autonomous Systems and Robotics: Principles, Techniques, and Future Directions
11. Signal Processing: A roadmap towards Image Reconstruction and Image Enhancement
12. Study of Image Enhancement Techniques for Satellite Images
13. Intelligent Signal Processing for Physical and MAC Layers: A Machine Learning Perspective
14. Optimization Techniques for 6G Communications: A Deep Learning Perspective
15. Advanced Image Restoration via Lightweight Convolutional Networks and Graph-Based Contextual Learning
16. Emerging Trends in Edge AI-Oriented Signal Processing for Internet of Things (IoT) Devices
17. Quantum-Enhanced Fuzzy Convolutional Neural Networks for High-Performance Analog Signal Processing Systems
18. Resource Optimization, Error Mitigation and Algorithmic Partitioning in Multi-Node Quantum Systems: A Practical Perspective
19. AI-Driven HetNet Optimization: Composite Fading, Mobility Modelling, and Resource Allocation
20. Intelligent Traffic Management System with Machine Learning for Congestion Prediction and Control
