【Author】

Muhammad Jawad Khokhar;Muhammad Shahzad Younis;

【Abstract】

In this paper we propose an approach towards developing a RLS algorithm that is based on the iterative techniques for solution of the linear system of equations. Two such fundamental methods namely the Steepest Descent and the Gauss-Seidel algorithms are used to solve the least squares normal equations. Simple optimization is presented to reduce the overall complexity of the algorithm and not compromising on the performance. Simulation results are compared with those of the classical RLS algorithm and it is shown that the proposed algorithm gives convergence results similar to those of Classical RLS with the added advantage of reduce computational complexity.

【Keywords】

RLS, Steepest Descent, Gauss-Seidel, Iterative matrix inversion techniques

To explore the background and basis of the node document

Total: 10 articles

- [1] S. Haykin, Adaptive Filter Theory,
- [2] Albu F;Kwan H.K, Combined echo and noise cancellation based on Gauss-Seidel pseudo affine projection algorithm, 2004 Proc. IEEE Int. Symp. on Circuits and Systems,
- [3] Albu F;Kwan H.K, Fast block exact Gauss-Seidel pseudo affine projection algorithm, Electronics Letters, Electronics Letters (Electronics Letters)
- [4] Roger woods;Gaye Lightbody;John McAllister,et al, FPGA-based implementation of Complex Signal Processing Systems,

Documents that have the similar content to the node document

Total: 174 articles

- [1] Up-down iterative method for interaction between superstructure and substructure, Application of Computer Methods in Rock Mechanics——Proceedings of International Symposium on Application of Computer Methods in Rock Mechnics and Engineering(Volume 2), 1993
- [2] Duarte.M.E.C.;Rosa.C.;Rebelo.F.;Duarte.C.;, Design of pictograms:a comparison between iterative and non-iterative design methodologies, Proceedings of 17th World Congress on Ergonomics, 2009
- [3] Higher-order Sampled-data iterative learning control for nonlinear systems, Proceedings of 2010 International Colloquium on Computing,Communication, Control, and Management (CCCM2010) Volume 2, 2010
- [4] Three-Step Eighth-Order Method for Nonlinear Equation, Proceedings of Asia Simulation conference 2008/the 7th International Conference on System Simulation and Scientific Computing（ICSC‘2008）, 2008