Description
Wireless Communications and Sensing: Fundamentals, Signal Processing, and Machine Learning Solutions offers a complete exploration of wireless technology from basic principles to cutting-edge applications. The book combines traditional wireless communication theory with contemporary signal processing methods and artificial intelligence techniques.
Readers will learn fundamental concepts in wireless transmission, modulation schemes, and channel characteristics alongside practical implementation strategies. The authors detail signal processing algorithms essential for filtering, detection, and estimation in wireless systems. A significant portion addresses how machine learning and deep learning approaches can optimize wireless network performance, improve spectrum efficiency, and enhance sensing capabilities.
This resource bridges the gap between academic theory and real-world deployment, making it valuable for engineers, researchers, and students seeking to understand modern wireless systems. Topics include antenna design, channel modeling, interference management, and intelligent signal processing for 5G/6G applications.
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