Title :
On the steady-state and tracking analysis of the complex SRLMS algorithm
Author :
Faiz, Mohammed Mujahid Ulla ; Zerguine, Azzedine
Author_Institution :
Dept. of Electr. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
Abstract :
In this paper, the steady-state and tracking behavior of the complex signed regressor least mean square (SRLMS) algorithm are analyzed in stationary and nonstationary environments, respectively. Here, the SRLMS algorithm is analyzed in the presence of complex-valued white and correlated Gaussian input data. Moreover, a comparison between the convergence performance of the complex SRLMS algorithm and the complex least mean square (LMS) algorithm is also presented. Finally, simulation results are presented to support our analytical findings.
Keywords :
Gaussian noise; least mean squares methods; regression analysis; complex SRLMS algorithm; complex valued white Gaussian input data; correlated Gaussian input data; signed regressor least mean square algorithm; Algorithm design and analysis; Convergence; Least squares approximations; Noise; Signal processing algorithms; Steady-state; Vectors; LMS; SRLMS; Steady-state; Tracking;
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European
Conference_Location :
Lisbon
