Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
562390 | Signal Processing | 2015 | 6 Pages |
Abstract
The so-called constrained least mean-square algorithm is one of the most commonly used linear-equality-constrained adaptive filtering algorithms. Its main advantages are adaptability and relative simplicity. In order to gain analytical insights into the performance of this algorithm, we examine its mean-square performance and derive theoretical expressions for its transient and steady-state mean-square deviation. Our methodology is inspired by the principle of energy conservation in adaptive filters. Simulation results corroborate the accuracy of the derived formula.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Reza Arablouei, Kutluyıl Doğançay, Stefan Werner,