Dutta / Raj / Bhattacharya / Budhiraja

Signal Processing Roadmap

Technologies, Applications, and Future Directions

ISBN 978-0-443-33172-5

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ca. 183,50 €

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Bibliografische Daten

Buch. Softcover

2026

Format (B x L): 19,1 x 23,5 cm

ISBN: 978-0-443-33172-5

Produktbeschreibung

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.

Autorinnen und Autoren

Kundeninformationen

- Provides a comprehensive reference for signal processing techniques in modern measurement systems - Highlights the latest innovations and future directions that drive transformative capabilities - Offers a roadmap for signal processing advances across application domains like 6G networks, pervasive health monitoring, and industry 4.0 - Discusses emerging trends in areas like photonic signal processing, virtual/augmented reality, additive manufacturing, and autonomous robots - Brings critical analysis of signal processing and uncertainty modeling for enabling next-generation smart measurement systems

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