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Record
Title
Approximative Matrix Inverse Computations for Very-large MIMO and Applications to Linear Pre-coding Systems
Type
Conference Proceeding/Paper
Publ. year
2013
Author/s
Prabhu, Hemanth; Rodrigues, Joachim; Edfors, Ove; Rusek, Fredrik
Department/s
ELLIIT: the Linköping-Lund initiative on IT and mobile communication; Department of Electrical and Information Technology
In LUP since
2016-04-04
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1830 0 0
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United States of America 477 (26%)
China 188 (10%)
Sweden 150 (8%)
Germany 99 (5%)
India 93 (5%)
United Kingdom of Great Britain and Northern Ireland 80 (4%)
South Korea 65 (4%)
Canada 52 (3%)
Russian Federation 49 (3%)
Taiwan (China) 42 (2%)
Japan 38 (2%)
France 38 (2%)
Hong Kong (China) 29 (2%)
Iran 25 (1%)
Netherlands (Kingdom of the) 25 (1%)
Egypt 20 (1%)
Australia 18 (1%)
Brazil 17 (1%)
Ethiopia 17 (1%)
Turkiye 15 (1%)
Finland 14 (1%)
Viet Nam 14 (1%)
Spain 13 (1%)
Israel 13 (1%)
Unknown 12 (1%)
Singapore 11 (1%)
Denmark 11 (1%)
Italy 11 (1%)
Ireland 11 (1%)
Austria 11 (1%)
Czechia 9 (0%)
Algeria 9 (0%)
Portugal 8 (0%)
Indonesia 8 (0%)
Morocco 7 (0%)
Pakistan 7 (0%)
Iraq 6 (0%)
Greece 6 (0%)
South Africa 6 (0%)
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Switzerland 6 (0%)
Hungary 5 (0%)
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Thailand 4 (0%)
Malaysia 4 (0%)
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Poland 4 (0%)
Jordan 4 (0%)
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Ukraine 4 (0%)
United Arab Emirates 4 (0%)
European Union location 3 (0%)
New Zealand 3 (0%)
Syrian Arab Republic 3 (0%)
Qatar 2 (0%)
Yemen 2 (0%)
Latvia 2 (0%)
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Mexico 2 (0%)
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Croatia 1 (0%)
Belgium 1 (0%)
Lebanon 1 (0%)
Kuwait 1 (0%)
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The download statistics shown here have been collected since the launch of LUP in October 2007 and are updated every night. Statistics are available for all records with open access fulltexts. Efforts have been made to exclude downloads by robots and track irregular download activities.

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The information on downloads per country is based on the geolocation of IP addresses and may not be completely accurate. The statistics presented here may also change retroactively when the calculation process is improved to provide more accurate results.

Statistics Last Updated
Thu Jan 8 08:31:22 2026