Title :
Effect of finite wordlength on the performance of an adaptive filter equipped with the signed regressor algorithm
Author :
Eweda, Eweda ; Yousef, Nabil R. ; El-Ramly, Salwa H.
Author_Institution :
Mil. Tech. Coll., Cairo, Egypt
Abstract :
The signed variants of the least mean square (LMS) algorithm have become appealing in the domain of high speed data communications. However, published analyses of these variants deal only with infinite precision implementation of the algorithms. The paper provides a roundoff error analysis of the signed regressor algorithm (SRA). An expression is derived for the steady state mean square error (MSE) of the algorithm. The derived expression is found to be in a good agreement with computer simulation results. It is found that the performance of the SRA is more affected by the wordlength assigned to the filter coefficients than the wordlength assigned to data. An expression is derived for the step size that minimizes the MSE. Finally the paper provides design issues that may reduce the effect of roundoff errors on the performance of the algorithm
Keywords :
adaptive filters; adaptive signal processing; data communication; least mean squares methods; roundoff errors; LMS algorithm; adaptive filter performance; adaptive filtering; algorithm performance; computer simulation results; filter coefficients; finite wordlength effect; high speed data communications; least mean square; roundoff error analysis; signed regressor algorithm; steady state mean square error; step size; Adaptive filters; Algorithm design and analysis; Data communication; Error analysis; Filtering algorithms; Least squares approximation; Mathematical model; Mean square error methods; Roundoff errors; Steady-state;
Conference_Titel :
Global Telecommunications Conference, 1996. GLOBECOM '96. 'Communications: The Key to Global Prosperity
Conference_Location :
London
Print_ISBN :
0-7803-3336-5
DOI :
10.1109/GLOCOM.1996.587661