Signal Processing Roadmap

Name: Signal Processing Roadmap
Price: 200 USD
Availability: InStock
ISBN: 9780443331725

Technologies, Applications, and Future Directions

by Pushan Kumar Dutta, Pethuru Raj, Pronaya Bhattacharya, Ishan Budhiraja, Dmitrii Kaplun

1st Edition

Publisher: Morgan Kaufmann

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Book Details

Print ISBN	9780443331725
eText ISBN	9780443331732
Publisher	Morgan Kaufmann
Publishing Year	2026
Edition	1st Edition
Language	English
Pages	350

The 1st Edition of Signal Processing Roadmap: Technologies, Applications, and Future Directions provides a reference for academics, researchers, graduate students, engineers, and technologists operating across modern technical disciplines. Designed to assist advanced investigation, the volume examines key signal processing considerations across complex operational environments, placing emphasis on uncertainty modeling for next-generation measurement systems.

To support rigorous theoretical study, the publication reviews foundational concepts and mathematical theories relating to non-linear optimization, fuzzy sets, and rough sets. Additionally, selected sections provide an overview of research in the hybrid information system modeling field, establishing formal representations for multi-layered computational systems.

The volume highlights emerging technological trends across industries, examining recent developments in photonic signal processing, virtual and augmented reality, additive manufacturing, and autonomous robots. Published under Elsevier's Morgan Kaufmann imprint in 2026, this volume forms part of the broader book series Computational Modeling Applications for Existential Risks.

Chapter 1: Foundations of Signal Processing: A Comprehensive Overview
Chapter 2: Frontiers in Digital and Analog Signal Processing Circuits and Systems in the era of Artificial Intelligence (AI)
Chapter 3: Sustainable 6G Connectivity through AI-Powered Energy Efficiency
Chapter 4: Computing Requirements and Techniques to Support Signal Processing
Chapter 5: Signal Processing: Potential Applications, Trends, and Challenges
Chapter 6: Signal Processing for Localization and Sensing Techniques in Next Generation Wireless Networks (NWGNs)
Chapter 7: Advanced Signal Processing Techniques for Non-Orthogonal Multiple Access in 6G Networks
Chapter 8: Signal Processing Innovations for improved 6G ubiquitous connectivity: Paving the path towards integrated Space-Ground-Underwater Networks
Chapter 9: Advanced real-time signal processing techniques for adaptive beamforming in Beyond 5G wireless networks
Chapter 10: Signal Processing for Autonomous Systems and Robotics: Principles, Techniques, and Future Directions
Chapter 11: Signal Processing: A roadmap towards Image Reconstruction and Image Enhancement
Chapter 12: Study of Image Enhancement Techniques for Satellite Images
Chapter 13: Intelligent Signal Processing for Physical and MAC Layers: A Machine Learning Perspective
Chapter 14: Optimization Techniques for 6G Communications: A Deep Learning Perspective
Chapter 15: Advanced Image Restoration via Lightweight Convolutional Networks and Graph-Based Contextual Learning
Chapter 16: Emerging Trends in Edge AI-Oriented Signal Processing for Internet of Things (IoT) Devices
Chapter 17: Quantum-Enhanced Fuzzy Convolutional Neural Networks for High-Performance Analog Signal Processing Systems
Chapter 18: Resource Optimization, Error Mitigation and Algorithmic Partitioning in Multi-Node Quantum Systems: A Practical Perspective
Chapter 19: AI-Driven HetNet Optimization: Composite Fading, Mobility Modelling, and Resource Allocation
Chapter 20: Intelligent Traffic Management System with Machine Learning for Congestion Prediction and Control