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EnglishA Look-Up-Table-based method is proposed to generate random instances of an antipodal  n-dimensional vector so that its 2-nd order statistics are as close as possible to a given specification. The method is based on linear optimization and exploits column-generation techniques to cope with the exponential complexity of the task. It yields a LUT whose storage requirements are only O(n^3) and thus are compatible with hardware implementa- tion for non-negligible n. Applications are shown in the fields of Compressive Sensing and of Ultra Wide Band systems based on Direct Sequence – Code Division Multiple Acces.
| Titolo: | Generation of Antipodal Random Vectors With Prescribed Non-Stationary 2-nd Order Statistics | |
| Autore/i: | CAPRARA, ALBERTO; Fabio Furini; LODI, ANDREA; MANGIA, MAURO; ROVATTI, RICCARDO; Gianluca Setti | |
| Autore/i Unibo: | ||
| Anno: | 2014 | |
| Rivista: | ||
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1109/TSP.2014.2302737 | |
| Abstract: | A Look-Up-Table-based method is proposed to generate random instances of an antipodal  n-dimensional vector so that its 2-nd order statistics are as close as possible to a given specification. The method is based on linear optimization and exploits column-generation techniques to cope with the exponential complexity of the task. It yields a LUT whose storage requirements are only O(n^3) and thus are compatible with hardware implementa- tion for non-negligible n. Applications are shown in the fields of Compressive Sensing and of Ultra Wide Band systems based on Direct Sequence – Code Division Multiple Acces. | |
| Data prodotto definitivo in UGOV: | 2014-10-09 01:16:38 | |
| Data stato definitivo: | 2016-09-12T17:09:01Z | |
| Appare nelle tipologie: | 1.01 Articolo in rivista |
File in questo prodotto:
http://hdl.handle.net/11585/281313
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