Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Advanced Bayesian Signal Processing: From Foundations to Frontiers in Communication and Sensing

Advanced Bayesian Signal Processing: From Foundations to Frontiers in Communication and Sensing

Liu, An
Zhao, Ming-Min

Hardcover

Series: Textbooks in Telecommunication Engineering

Technology & EngineeringProbability & Statistics

PREORDER - Expected ship date October 28, 2026

ISBN10: 3032266556
ISBN13: 9783032266552
Publisher: Springer
Published: Oct 28 2026
Pages: 364
Language: English
This textbook provides a systematical introduction of Bayesian signal processing from Bayesian parameter estimation, factor graph, and message passing to sparse Bayesian inference (compressive sensing). The book not only provides a systematical introduction of the theory and methods in Bayesian inference, but also discusses advanced Bayesian inference methods recently developed for future wireless systems and its applications in emerging wireless technologies, including massive MIMO, wireless localization, integrated sensing and communications, etc. The authors include a unified framework to incorporate different Bayesian inference methods/algorithms, and a thorough comparison of the pros and cons of different Bayesian inference methods/algorithms and their application scenarios in wireless network and IoT. The authors offer classroom materials such as homework problems, course projects, a solutions manual, PowerPoint slides, and sample code. The book is intended for senior undergraduates, graduate and advanced graduate students and is also suitable for industry researchers.

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