Reduced Complexity Spectrum Sensing Based on Maximum Eigenvalue and Energy

Sener Dikmese; Ahmet Gokceoglu; Mikko Valkama; Markku Renfors

Reduced Complexity Spectrum Sensing Based on Maximum Eigenvalue and Energy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

5 Citations (Scopus)

Translated title of the contribution	Reduced Complexity Spectrum Sensing Based on Maximum Eigenvalue and Energy
Original language	English
Title of host publication	Proceedings of the Tenth International Symposium on Wireless Communication Systems (ISWCS 2013), 27-30 Aug. 2013, Ilmenau, Germany
Publisher	VDE Verlag GmbH
Pages	244-248
Number of pages	5
ISBN (Print)	978-3-8007-3529-7
Publication status	Published - 2013
Publication type	A4 Article in conference proceedings
Event	International Symposium on Wireless Communication Systems - Duration: 1 Jan 1900 → …

Publication series

Name	International Symposium on Wireless Communication Systems
ISSN (Print)	2154-0217

Conference

Conference	International Symposium on Wireless Communication Systems
Period	1/01/00 → …

Publication forum classification

Publication forum level 1

Cite this

@inproceedings{b161715e26c64b7281d3900308515856,

title = "Reduced Complexity Spectrum Sensing Based on Maximum Eigenvalue and Energy",

author = "Sener Dikmese and Ahmet Gokceoglu and Mikko Valkama and Markku Renfors",

note = "Contribution: organisation=elt,FACT1=1<br/>Portfolio EDEND: 2013-11-29<br/>Publisher name: VDE Verlag GMBH; International Symposium on Wireless Communication Systems ; Conference date: 01-01-1900",

year = "2013",

language = "English",

isbn = "978-3-8007-3529-7",

series = "International Symposium on Wireless Communication Systems",

publisher = "VDE Verlag GmbH",

pages = "244--248",

booktitle = "Proceedings of the Tenth International Symposium on Wireless Communication Systems (ISWCS 2013), 27-30 Aug. 2013, Ilmenau, Germany",

address = "Germany",

}

Dikmese, S, Gokceoglu, A, Valkama, M & Renfors, M 2013, Reduced Complexity Spectrum Sensing Based on Maximum Eigenvalue and Energy. in Proceedings of the Tenth International Symposium on Wireless Communication Systems (ISWCS 2013), 27-30 Aug. 2013, Ilmenau, Germany. International Symposium on Wireless Communication Systems, VDE Verlag GmbH, pp. 244-248, International Symposium on Wireless Communication Systems, 1/01/00.

Reduced Complexity Spectrum Sensing Based on Maximum Eigenvalue and Energy. / Dikmese, Sener; Gokceoglu, Ahmet; Valkama, Mikko et al.
Proceedings of the Tenth International Symposium on Wireless Communication Systems (ISWCS 2013), 27-30 Aug. 2013, Ilmenau, Germany. VDE Verlag GmbH, 2013. p. 244-248 (International Symposium on Wireless Communication Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Reduced Complexity Spectrum Sensing Based on Maximum Eigenvalue and Energy

AU - Dikmese, Sener

AU - Gokceoglu, Ahmet

AU - Valkama, Mikko

AU - Renfors, Markku

N1 - Contribution: organisation=elt,FACT1=1<br/>Portfolio EDEND: 2013-11-29<br/>Publisher name: VDE Verlag GMBH

PY - 2013

Y1 - 2013

M3 - Conference contribution

SN - 978-3-8007-3529-7

T3 - International Symposium on Wireless Communication Systems

SP - 244

EP - 248

BT - Proceedings of the Tenth International Symposium on Wireless Communication Systems (ISWCS 2013), 27-30 Aug. 2013, Ilmenau, Germany

PB - VDE Verlag GmbH

T2 - International Symposium on Wireless Communication Systems

Y2 - 1 January 1900

ER -