Title :
Transient analysis of adaptive filters with error nonlinearities
Author :
Al-Naffouri, Tareq Y. ; Sayed, Ali H.
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA, USA
fDate :
3/1/2003 12:00:00 AM
Abstract :
The paper develops a unified approach to the transient analysis of adaptive filters with error nonlinearities. In addition to deriving earlier results in a unified manner, the approach also leads to new performance results without restricting the regression data to being Gaussian or white. The framework is based on energy-conservation arguments and avoids the need for explicit recursions for the covariance matrix of the weight-error vector.
Keywords :
adaptive filters; covariance matrices; energy conservation; mean square error methods; recursion method; transient analysis; adaptive filters; covariance matrix; energy conservation; error nonlinearities; excess mean-square error; general recursion; regression data; transient analysis; unified approach; weight-error vector; Adaptive filters; Algorithm design and analysis; Covariance matrix; Error analysis; Error correction; Feedback; Gaussian noise; Performance analysis; Steady-state; Transient analysis;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2002.808108
