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Spectral analysis is an important technique for interpreting time series data. This book uses the R language and real world examples to show data analysts... Læs mere
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This cohesive treatment of cognitive radio and networking technology integrates information and decision theory to provide insight... Læs mere
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P-splines are widely used in statistics and machine learning for smoothing out noise in data and to avoid overtraining. This practical guide covers theory and a... Læs mere
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This book presents a comprehensive and consistent theory of estimation. The framework described leads naturally to a powerful new tool, the generalized maximum capacity... Læs mere
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This accessible text provides detailed coverage of the core mathematical concepts underpinning signal processing, focusing on the relationship between theory and... Læs mere
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A comprehensive synthesis of recent advances in multimodal signal processing applications for human interaction analysis and meeting support... Læs mere
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Ideal for mathematicians who are interested in applications or for students from applied fields who want to understand the mathematics behind their subject. The... Læs mere
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Ideal for mathematicians who are interested in applications or for students from applied fields who want to understand the mathematics behind their subject. The... Læs mere
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This self-contained introduction to the Poisson process covers basic theory and certain advanced topics in the setting of a general abstract measure space. The text... Læs mere
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Learn how information theoretic approaches can inform the design of more secure information systems and networks with this expert guide.... Læs mere
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The first unified treatment of the interface between information theory and emerging topics in data science, written in a clear, tutorial style. Covering... Læs mere
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Governments worldwide use spectrum auctions to assign and price licenses for wireless communications, a key resource for any mobile operator. This comprehensive... Læs mere