|
|
|
|
A Weighted Soft-Max PNLMS Algorithm for Sparse System Identification
|
|
|
|
|
|
|
|
نویسنده
|
bekrani m. ,zayyani h.
|
|
منبع
|
international journal of information and communication technology research - 2016 - دوره : 8 - شماره : 3 - صفحه:7 -14
|
|
چکیده
|
This paper presents a new proportionate normalized least mean square (pnlms) adaptive algorithm using a soft maximum operator for sparse system identification. to provide a high rate of convergence, soft maximum operator is employed along with a weighting factor, which is proportional to an estimation of output mean square error (mse). simulation results show the superiority of the proposed algorithm over its pnlms-based counterparts.
|
|
کلیدواژه
|
Sparse adaptive filter ,System identification ,Echo cancelation ,Soft maximum.
|
|
آدرس
|
qom university of technology, department of electrical and computer engineering, ایران, qom university of technology, department of electrical and computer engineering, ایران
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Authors
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|