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Compressive Sensing for Wireless Networks (Hardcover, New)
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Compressive Sensing for Wireless Networks (Hardcover, New)
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Compressive sensing is a new signal processing paradigm that aims
to encode sparse signals by using far lower sampling rates than
those in the traditional Nyquist approach. It helps acquire, store,
fuse and process large data sets efficiently and accurately. This
method, which links data acquisition, compression, dimensionality
reduction and optimization, has attracted significant attention
from researchers and engineers in various areas. This comprehensive
reference develops a unified view on how to incorporate efficiently
the idea of compressive sensing over assorted wireless network
scenarios, interweaving concepts from signal processing,
optimization, information theory, communications and networking to
address the issues in question from an engineering perspective. It
enables students, researchers and communications engineers to
develop a working knowledge of compressive sensing, including
background on the basics of compressive sensing theory, an
understanding of its benefits and limitations, and the skills
needed to take advantage of compressive sensing in wireless
networks.
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