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Systolic Algorithms for Recursive Total Least Squares Parameter Estimation and Mixed Rls/rtls Problems
| Content Provider | Semantic Scholar |
|---|---|
| Author | Moonen, Marc |
| Copyright Year | 2007 |
| Abstract | Total least squares parameter estimation is an alternative to least squares estimation though much less used in practice, partly due to the absence of eecient recursive algorithms or parallel architectures. Here it is shown how previously developed systolic algorithms/architectures for recursive least squares estimation can be used for recursive total least squares problems. Unconstrained as well as linearly constrained and`mixed RLS/RTLS' problems are considered. |
| File Format | PDF HTM / HTML |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Algorithm Architecture as Topic Estimation theory Population Parameter Real-time locating system Recursion Recursive least squares filter Restless Legs Syndrome Total least squares |
| Content Type | Text |
| Resource Type | Article |
