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10 years of news and resources for members of the IEEE Signal Processing Society
Big data is everywhere, and we expect to see more signal processing books about it. Signal Processing and Networking for Big Data Applications by Zhu Han, Mingyi Hong, Dan Wang is a new book published by Cambridge University Press. As the publisher states on their website: "This unique text helps make sense of big data in engineering applications using tools and techniques from signal processing. It presents fundamental signal processing theories and software implementations, reviews current research trends and challenges, and describes the techniques used for analysis, design and optimization. Readers will learn about key theoretical issues such as data modelling and representation, scalable and low-complexity information processing and optimization, tensor and sublinear algorithms, and deep learning and software architecture, and their application to a wide range of engineering scenarios. Applications discussed in detail include wireless networking, smart grid systems, and sensor networks and cloud computing. This is the ideal text for researchers and practising engineers wanting to solve practical problems involving large amounts of data, and for students looking to grasp the fundamentals of big data analytics." More information about the book can be found at https://www.cambridge.org/core/books/signal-processing-and-networking-for-big-data-applications/A05CAB38B34884372E3BA65D6B5136C8#fndtn-information We sincerely hope that you'll enjoy reading it.
|Call for Nominations: Chair, Women in Signal Processing Committee and Chair, Young Professionals Committee||10 July 2020|
|ALASKA 2 Steganalysis Challenge is Open||13 July 2020|
|Nominations Open for 2020 SPS Awards||1 September 2020|
|Call for Nominations: SPS Chapter of the Year Award||15 October 2020|
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