Sparsity-Based Multipath Exploitation for Through-the-Wall Radar Imaging, Leigsnering

Автор: Bahmani, Sohail
Название: Algorithms for sparsity-constrained optimization
ISBN: 3319018809 ISBN-13(EAN): 9783319018805
Издательство: Springer
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Цена: 22359.00 р.
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Описание: This thesis presents a wholly new technique in the structural analysis of data that uses a `greedy` algorithm to derive optimal sparse solutions, enabling faster and more accurate results in formerly problematic areas of machine learning and signal processing.

Автор: Sohail Bahmani
Название: Algorithms for Sparsity-Constrained Optimization
ISBN: 3319377191 ISBN-13(EAN): 9783319377193
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This thesis presents a wholly new technique in the structural analysis of data that uses a `greedy` algorithm to derive optimal sparse solutions, enabling faster and more accurate results in formerly problematic areas of machine learning and signal processing.

Автор: Igor P. Kovalyov
Название: SDMA for Multipath Wireless Channels
ISBN: 3642623301 ISBN-13(EAN): 9783642623301
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Space Division Multiple Access is one of the most promising methods in solving the capacity problem of wireless communication systems. This book defines formulae that can be used to evaluate the limit capacity of multipath wireless channels in a particular receiving region with size limitation.