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Performance Analysis of Shrinkage Linear Complex-Valued LMS Algorithm.
- Source :
- IEEE Signal Processing Letters; Aug2019, Vol. 26 Issue 8, p1202-1206, 5p
- Publication Year :
- 2019
-
Abstract
- The shrinkage linear complex-valued least mean squares (SL-CLMS) algorithm with a variable step size overcomes the conflicting issue between fast convergence and low steady-state misalignment. To the best of our knowledge, the theoretical performance analysis of the SL-CLMS algorithm has not been presented yet. This letter focuses on the theoretical analysis of the excess mean square error transient and steady-state performance of the SL-CLMS algorithm. Simulation results obtained for identification scenarios show a good match with the analytical results. [ABSTRACT FROM AUTHOR]
- Subjects :
- LINEAR statistical models
LEAST squares
ALGORITHMS
KRONECKER products
Subjects
Details
- Language :
- English
- ISSN :
- 10709908
- Volume :
- 26
- Issue :
- 8
- Database :
- Complementary Index
- Journal :
- IEEE Signal Processing Letters
- Publication Type :
- Academic Journal
- Accession number :
- 138460587
- Full Text :
- https://doi.org/10.1109/LSP.2019.2925957