- ホーム
- > 洋書
- > 英文書
- > Computer / General
Full Description
Signal Processing Roadmap: Technologies, Applications, and Future Directions presents a comprehensive exploration of innovative and advanced signal processing techniques, catering to the needs of engineers, researchers, and technologists. The book offers critical evaluations of the latest methods that drive intelligent and reliable measurement and monitoring solutions across diverse applications. Backed by practical examples, it demonstrates the real-world impact of signal processing in areas such as the Internet of Things, biomedical devices, and more. Through its forward-looking approach, the book aims to consolidate current advancements while pointing toward future opportunities and challenges in the field.
In addition to covering uncertainty modeling and key signal processing considerations, the book delves into the latest developments in hybrid information system modeling, emphasizing its practical uses in fields like finance, healthcare, and engineering. Readers will find detailed case studies that illustrate how these models address complex, real-world problems. The text also thoroughly reviews foundational theories related to non-linear optimization, fuzzy sets, and rough sets.
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
