Name
Title | ||
|---|---|---|
LATTICE IMPLEMENTATION OF SUM-SQUARED AUTO-CORRELATION MINIMIZATION (SAM) CHANNEL SHORTENER |
Abstract | ||
|---|---|---|
The Sum-squared Autocorrelation Minimization (SAM) al- gorithm is one technique proposed for blind adaptation of the time-domain equalizer in multicarrier systems. The SAM cost depends on the effective channel autocorrelation, which will not be changed if any TEQ zeros are flipped over the unit circle. As a consequence, the SAM cost is multimodal, and different minima may yield very different shortening perfor- mance. In order to aid SAM converge to a suitable mini- mum, we impose a minimum phase constraint on the TEQ by means of the lattice structure and develop a lattice version of SAM with low computational complexity. |
Year | Venue | Field |
|---|---|---|
2008 | European Signal Processing Conference | Mathematical optimization,Square (algebra),Lattice (order),Algorithm,Unit circle,Maxima and minima,Minification,Minimum phase,Mathematics,Autocorrelation,Computational complexity theory |
DocType | ISSN | Citations |
Conference | 2219-5491 | 0 |
PageRank | References | Authors |
0.34 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Emna Ben Salem | 1 | 0 | 1.01 |
| Roberto López-Valcarce | 2 | 300 | 41.00 |
| Sofiane Cherif | 3 | 23 | 7.58 |
| Hichem Besbes | 4 | 80 | 22.41 |