Compressed Sensing with Applications in Wireless Networks
Many natural signals possess only a few degrees of freedom. For instance, the occupied radio spectrum may be intermittently concentrated to only a few frequency bands of the system bandwidth. This special structural feature - signal sparsity - is conducive in designing efficient signal processing techniques for wireless networks. In particular, the signal sparsity can be leveraged by the recently emerged joint sampling and compression paradigm, compressed sensing (CS).This monograph reviews several recent CS advancements in wireless networks with an aim to improve the quality of signal reconstruction or detection while reducing the use of ene…
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Produktdetails
Weitere Autoren: Codreanu, Marian / Giannakis, Georgios B.
- ISBN: 978-1-68083-646-2
- EAN: 9781680836462
- Produktnummer: 33228310
- Verlag: Now Publishers Inc
- Sprache: Englisch
- Erscheinungsjahr: 2019
- Seitenangabe: 312 S.
- Masse: H23.4 cm x B15.6 cm x D1.6 cm 477 g
- Abbildungen: Paperback
- Gewicht: 477
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