Name
Abstract | ||
|---|---|---|
Multiple Input Multiple Output (MIMO) based systems have recently received a lot of attention as their projected data rate is twice as fast as the currently available systems. Due to the increased number of RF paths, the testing becomes more complicated, ... |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/VTS.2007.41 | VTS |
Keywords | Field | DocType |
available system,multiple input multiple output,rf test correlation,case study,learning machines,increased number,rf path,projected data rate,radio frequency,learning artificial intelligence,production,neural network,predictive models,machine learning,compaction,neural nets,conformance testing,neural networks | Analogue circuits,Computer science,Production testing,Conformance testing,Radio frequency,Electronic engineering,Correlation,Test data,Specification testing,Artificial neural network | Conference |
ISSN | ISBN | Citations |
1093-0167 | 0-7695-2812-0 | 38 |
PageRank | References | Authors |
2.10 | 12 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haralampos-G. D. Stratigopoulos | 1 | 252 | 28.06 |
| Petros Drineas | 2 | 2165 | 201.55 |
| Mustapha Slamani | 3 | 134 | 17.09 |
| Yiorgos Makris | 4 | 1365 | 107.21 |