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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. It critically analyses key signal processing considerations like uncertainty modelling that enable more intelligent and reliable next-generation measurement systems, backed by real-world implementation examples in areas ranging from Internet of Things devices to complex biomedical equipment. The book will provide an overview of the latest research in the hybrid information system modelling field, with a particular emphasis on practical applications in various fields. This includes case studies and examples of how these models have been used to solve problems in finance, healthcare, engineering, and other related fields. Additionally, the book reviews the theories and concepts related to non-linear optimization, fuzzy sets, and rough sets. Overall, Signal Processing Roadmap: Technologies, Applications, and Future Directions deals with the dual goals of consolidating the state-of-the-art and charting the future directions across the exciting applications where signal processing will continue playing a pivotal role in building intelligent, reliable, and efficient systems of the future.
Contents
1. Overview of Signal Processing Advances and Opportunities
2. Signal Uncertainty Modelling and Stochastic Estimation Techniques
3. Biosignal Analysis for Pervasive Health Monitoring
4. Real-Time Signal Processing for Brain-Computer Interfaces
5. Embedded Signal Processing for Internet of Things Devices
6. Image Reconstruction and Enhancement Techniques
7. Video Coding and Analytics Through Signal Processing
8. Signal Processing for 6G Wireless Networks
9. Multi-User Signal Processing for Interference Management
10. Sparse Signal Processing and Compressed Sensing
11. Spectrum and Energy-Efficient Wireless Communication Techniques
12. Convex and Non-Convex Optimization in Communications
13. Machine Learning for Physical and Medium Access Layers
14. High-Performance Computing Advances for Signal Processing
15. Photonic Signal Processing for Optical Communications
16. Signal Processing for Autonomous Systems and Robotics
17. Virtual, Augmented, and Mixed Reality Signal Processing
18. Signal Processing for Additive Manufacturing and Industry 4.0
19. Roadmap for Next-Generation Signal Processing Technologies
20. Emerging Trends in Hybrid Information Systems Modeling in Artificial Intelligence and Challenges
