On the Learning Mechanism of Adaptive Filters

@misc{citeulike:1390003, abstract = {This paper highlights, both analytically and by simulations, some interesting phenomena regarding the behavior of ensemble-average learning curves of adaptive filters that may have gone unnoticed. Among other results, the paper shows that even ensemble-average learning curves of single-tap LMS filters actually exhibit two distinct rates of convergence; one for the initial time instants and another, faster, for later time instants. Also, such curves tend to converge faster than predicted by...}, author = {Nascimento, V\ítor H. and Sayed, Ali H. }, citeulike-article-id = {1390003}, keywords = {adaptive, filter}, posted-at = {2007-06-14 14:23:50}, priority = {4}, title = {On the Learning Mechanism of Adaptive Filters}, url = {http://citeseer.ist.psu.edu/nascimento00learning.html} }

TY - GEN ID - citeulike:1390003 L3 - citeulike-article-id:1390003 TI - On the Learning Mechanism of Adaptive Filters N2 - This paper highlights, both analytically and by simulations, some interesting phenomena regarding the behavior of ensemble-average learning curves of adaptive filters that may have gone unnoticed. Among other results, the paper shows that even ensemble-average learning curves of single-tap LMS filters actually exhibit two distinct rates of convergence; one for the initial time instants and another, faster, for later time instants. Also, such curves tend to converge faster than predicted by... KW - adaptive KW - filter AU - Nascimento, Vítor AU - Sayed, Ali UR - http://citeseer.ist.psu.edu/nascimento00learning.html ER -