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Artificial Intelligence for Signal Processing and Wireless Communication: Unlocking the Transformative Power

Jese Leos
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Published in Artificial Intelligence For Signal Processing And Wireless Communication (De Gruyter On The Applications Of Mathematics In Engineering And Information Sciences 11)
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In the rapidly evolving world of technology, Artificial Intelligence (AI) is emerging as a transformative force, revolutionizing industries and solving complex problems like never before. Signal processing and wireless communication are two such domains that stand to benefit immensely from the power of AI, unlocking unprecedented possibilities.

Artificial Intelligence for Signal Processing and Wireless Communication (De Gruyter on the Applications of Mathematics in Engineering and Information Sciences 11)
Artificial Intelligence for Signal Processing and Wireless Communication (De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences Book 11)
by Mangey Ram

4.5 out of 5

Language : English
File size : 9896 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
Print length : 230 pages
Paperback : 236 pages
Item Weight : 12 ounces
Dimensions : 6.14 x 0.5 x 9.21 inches

This comprehensive book delves into the intersection of AI, signal processing, and wireless communication, providing an in-depth exploration of this burgeoning field. Written by leading experts in the domain, the book empowers you with the knowledge and practical skills to harness the power of AI to solve real-world challenges.

AI in Signal Processing

Signal processing is at the heart of modern communication systems, from noise cancellation in audio devices to image processing in cameras. AI has the potential to revolutionize signal processing by introducing new algorithms and techniques that can vastly improve performance and efficiency.

  • Machine Learning for Noise Reduction: AI algorithms can learn from noisy data to identify and remove unwanted noise without compromising signal quality.
  • Deep Learning for Image Enhancement: Deep neural networks can be trained to enhance images, sharpening details, removing blur, and restoring color vibrancy.
  • Cognitive Signal Processing: AI-based systems can mimic human cognitive abilities to analyze and interpret signals in complex environments, such as recognizing speech in crowded or noisy settings.

AI in Wireless Communication

Wireless communication is another area where AI is making a significant impact. With the proliferation of wireless devices and the demand for higher data rates, AI-driven solutions are becoming increasingly important.

  • Cognitive Radio: AI techniques can enable cognitive radios to adapt their behavior based on real-time spectrum availability, maximizing bandwidth utilization and reducing interference.
  • Frequency Hopping Optimization: AI algorithms can optimize frequency hopping patterns to minimize channel congestion and improve network reliability.
  • Channel Estimation and Prediction: AI can assist in estimating and predicting channel characteristics, improving signal quality and throughput.

Practical Applications

The applications of AI in signal processing and wireless communication are endless. This book provides a wealth of practical examples and case studies that demonstrate the real-world impact of AI:

  • Enhanced Signal Processing in Medical Devices: AI algorithms can improve the accuracy of medical diagnostic tools, such as MRI and ultrasound machines, leading to more precise diagnoses and improved patient outcomes.
  • Optimized Wireless Communication in Smart Cities: AI-driven networks can optimize traffic flow, manage energy consumption, and improve public safety by facilitating seamless communication between devices and infrastructure.
  • Cognitive Radio Applications in Military Communication: AI-based cognitive radios can enhance situational awareness, provide secure communication channels, and enable tactical decision-making in challenging environments.

This book is an invaluable resource for researchers, engineers, and students working in the fields of signal processing and wireless communication. It provides a comprehensive overview of the latest advancements in AI for these domains and equips readers with the knowledge and skills to harness the power of AI to solve complex challenges.

By embracing the transformative power of Artificial Intelligence, we can unlock new possibilities and revolutionize the way we process signals and communicate wirelessly. This book is your guide to this exciting journey.

Artificial Intelligence For Signal Processing And Wireless Communication Book Cover Artificial Intelligence For Signal Processing And Wireless Communication (De Gruyter On The Applications Of Mathematics In Engineering And Information Sciences 11)

Artificial Intelligence for Signal Processing and Wireless Communication (De Gruyter on the Applications of Mathematics in Engineering and Information Sciences 11)
Artificial Intelligence for Signal Processing and Wireless Communication (De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences Book 11)
by Mangey Ram

4.5 out of 5

Language : English
File size : 9896 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
Print length : 230 pages
Paperback : 236 pages
Item Weight : 12 ounces
Dimensions : 6.14 x 0.5 x 9.21 inches
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The book was found!
Artificial Intelligence for Signal Processing and Wireless Communication (De Gruyter on the Applications of Mathematics in Engineering and Information Sciences 11)
Artificial Intelligence for Signal Processing and Wireless Communication (De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences Book 11)
by Mangey Ram

4.5 out of 5

Language : English
File size : 9896 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
Print length : 230 pages
Paperback : 236 pages
Item Weight : 12 ounces
Dimensions : 6.14 x 0.5 x 9.21 inches
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