Title :
A modified LMS algorithm with improved convergence
Author :
Rohani, B. ; Chung, K.S.
Author_Institution :
Sch. of Electr. & Comput. Sci., Curtin Univ. of Technol., Perth, WA, Australia
Abstract :
The weighted step size (WSS) least mean squares (LMS) algorithm utilises non-uniform step sizes for updating an impulse response estimator. This improves the speed of the convergence of this algorithm compared to the LMS algorithm. The additional computational requirement for this algorithm is the extra update of the algorithm step sizes. A quantitative analysis of the WSS-LMS algorithm is presented. This includes the condition for the algorithm convergence and the steady state mean squared error (MSE) analysis of the algorithm. Computer simulation results that establish the validity of the analysis are also presented
Keywords :
adaptive signal processing; convergence of numerical methods; least mean squares methods; transient response; MSE analysis; WSS-LMS algorithm; adaptive signal processing algorithms; computational requirement; computer simulation results; convergence; impulse response estimator updating; least mean squares algorithm; modified LMS algorithm; nonuniform step sizes; steady state mean squared error analysis; weighted step size; Algorithm design and analysis; Australia; Computer errors; Computer simulation; Convergence; Finite impulse response filter; Least squares approximation; Sampling methods; Signal processing algorithms; Steady-state;
Conference_Titel :
Singapore ICCS '94. Conference Proceedings.
Print_ISBN :
0-7803-2046-8
DOI :
10.1109/ICCS.1994.474153
