Signal Processing Roadmap

Technologies, Applications, and Future Directions
Erscheinungsjahr 2026
ISBN: 978-0-443-33172-5
Verlag: Elsevier Science

Buch, Englisch, 340 Seiten, Format (B × H): 191 mm x 235 mm

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.

Autoren/Hrsg.

Dutta, Pushan Kumar

Raj, Pethuru

Bhattacharya, Pronaya

Budhiraja, Ishan

Kaplun, Dmitrii

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Grid-Computing & Paralleles Rechnen
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Verteilte Systeme (Netzwerke)
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik

Inhaltsverzeichnis

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

Über Autor(innen)

Budhiraja, Ishan
Dr. Ishan Budhiraja earned his Ph.D. in Computer Science Engineering from the Thapar Institute of Engineering and Technology, Patiala, India in 2021. He received M.Tech. and B. Tech degree in Electronics and Communication Engineering from Maharishi Dayanand University, Rohtak, Haryana, in 2012 and Uttar Pradesh Technical University, Lucknow, India, in 2008, respectively. He worked as a Research Associate on the project Energy Management of Smart Home using cloud Infrastructure-A Utility Perspective, funded by CSIR, New Delhi, India. Some of his research findings are published in top-cited journals, such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Vehicular Technology, IEEE Transactions on Mobile Computing, IEEE Internet of Things, IEEE Wireless Communication Magazine, IEEE Systems Journal, and various international top-tiered conferences, such as IEEE GLOBECOM, IEEE ICC, IEEE WCMC, ACM, and IEEE Infocom. His research interests include device-to-device communications, the Internet of Things, Non-orthogonal multiple access, femtocells, deep reinforcement learning, and microstrip patch antenna.

Bhattacharya, Pronaya
Dr. Pronaya Bhattacharya received a Ph.D. degree from Dr. A. P. J. Abdul Kalam Technical University, Lucknow, Uttar Pradesh, India. He is currently an Associate Professor with the Computer Science and Engineering Department, Amity School of Engineering and Technology, Amity University, Kolkata, India. He has over ten years of teaching experience.

He has authored or co-authored more than 130 research papers in leading SCI journals and top core IEEE COMSOC A* conferences. His work has been published in SCI journals, such as IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Vehicular Technology, IEEE Internet of Things Journal, IEEE Transactions on Network Science and Engineering, IEEE Transactions on Computational Social Systems, IEEE Transactions on Green Communications and Networking, IEEE Transactions on Network and Service Management, IEEE Access, IEEE Sensors Journal, IEEE Internet of Things Magazine, IEEE Communication Standards Magazine, ETT (Wiley), Expert Systems (Wiley), CCPE (Wiley), FGCS (Elsevier), ComCom (Elsevier), OQEL (Springer), MTAP (Springer), WPC (Springer), ACM-MOBICOM, IEEE-INFOCOM, IEEE-GLOBECOM, IEEE-ICC, IEEE-CITS, IEEE-ICIEM, IEEE-CCCI, and IEEE-ECAI. His H-index is 24 and i10-index is 54, and he has 2246 citations to his credit. He also has 4 granted patents to his name. His research interests include healthcare analytics, optical switching and networking, federated learning, blockchain, and the IoT. He has been a keynote speaker, a technical committee member, and a session chair. He is a recipient of nine Best Paper Awards from Springer ICRIC-2019, IEEE-ICIEM-2021, IEEE-ECAI-2021, Springer COMS2-2021, and IEEE-ICIEM-2022. He is a Reviewer of 25 reputed SCI journals, such as IEEE Internet of Things Journal, IEEE Transactions on Industrial Informatics, IEEE Transactions of Vehicular Technology, IEEE Journal of Biomedical and Health Informatics, IEEE Access, IEEE Network, ETT (Wiley), IJCS (Wiley), MTAP (Springer), OSN (Elsevier), and WPC (Springer).

Dutta, Pushan Kumar
Dr. Pushan Kumar Dutta is an Assistant Professor Grade III at Amity University Kolkata, specializing in Electronics and Communication Engineering. He holds a Ph.D. in Electronics and Telecommunication Engineering from Jadavpur University and completed a Postdoctoral fellowship as an Erasmus Mundus Scholar at the University of Oradea. His research interests include data mining, AI, edge computing, and predictive analytics, focusing on applications in smart cities, healthcare, and sustainable development. Dr. Dutta has published over 114 articles in Scopus-indexed journals and has edited more than 30 books for prestigious publishers in 2023-2024. He is recognized as a reviewer for leading academic publishers and has received accolades such as the 'Mentor of Change' from NITI Aayog. Committed to innovative teaching, he authored "Innovative Digital Teaching and Learning for Professional Readiness" and holds two Indian patents. Dr. Dutta is a Threws Fellow member and a senior member of the Indian Institute of Engineering.

Raj, Pethuru
Pethuru Raj PhD works as chief architect and vice president of site reliability engineering (SRE) division of Reliance Jio Infocomm. Ltd. Bangalore. Previously he worked as a cloud infrastructure architect in the IBM Global Cloud Center of Excellence (CoE), Bangalore. He worked as a TOGAF-certified enterprise architecture (EA) consultant in Wipro Consulting Services (WCS) Division and as a lead architect in the corporate research (CR) division of Robert Bosch, India. He has gained more than 18 years of IT industry experience.
He finished the CSIR-sponsored PhD degree in Anna University, Chennai and continued the UGC-sponsored postdoctoral research in the department of Computer Science and Automation, Indian Institute of Science, Bangalore. Thereafter, he was granted a couple of international research fellowships (JSPS and JST) to work as a research scientist for 3.5 years in two leading Japanese universities. He has authored and edited 18 books thus far and he focuses on some of the emerging technologies such as Containerized Clouds; Big, Fast, and Streaming Data Analytics; Microservices architecture (MSA); Machine and Deep Learning Algorithms; Blockchain Technology; The Internet of Things; and Edge Computing. He has published more than 30 research papers in peer-reviewed journals such as IEEE, ACM, Springer-Verlag, Inderscience, etc.