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  4. Found in Space - Helical Resonator Filters for Satellite Communication [Book/Software Reviews]
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Category: Industrial Electronics Magazine
By MTech Projects
MTech Projects
15.May
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Found in Space - Helical Resonator Filters for Satellite Communication [Book/Software Reviews]

PROJECT TITLE :

Found in Space - Helical Resonator Filters for Satellite Communication [Book/Software Reviews]

ABSTRACT:

This book's main objective is to supply a up to date, comprehensive approach to the design of RF and microwave filters for satellite applications with an stress on helical resonator technology. By exploiting the synergies among offered information, info fusion can cut back data traffic, filter noisy measurements, and create predictions and inferences concerning a monitored entity. The book examines the state-of-the-art in data fusion. It presents the known methods, algorithms, architectures, and models of information fusion and discusses their applicability within the context of wireless sensor networks (WSNs). Paying specific attention to the wide selection of topics that are covered in recent literature, the text presents the results of a number of typical case studies. Complete with research-supported parts and comprehensive references, this teaching-oriented volume uses normal scientific terminology, conventions, and notations throughout. It applies recently developed convex-optimization theory and highly efficient algorithms in estimation fusion to open up discussion and offer researchers with a perfect beginning point for more research on distributed estimation and fusion for WSNs. The book provides a cohesive overview of the key results of theory and applications of knowledge-fusion-connected problems in networked systems in a unified framework. Providing advanced mathematical treatment of basic problems with info fusion, it can help readers broaden their understanding of prospective applications and the way to deal with such problems in apply. Once reading the book, readers will gain the understanding needed to model components of dynamic systems and use those models to develop distributed fusion control algorithms that are primarily based on feedback control theory.

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