|کد مقاله||کد نشریه||سال انتشار||مقاله انگلیسی||ترجمه فارسی||نسخه تمام متن|
|4977359||1367710||2018||9 صفحه PDF||سفارش دهید||دانلود کنید|
- Stochastic analysis of the effects of saturation-type nonlinearities in LMS adaptive filters.
- System identification using LMS adaptive filters.
- Nonlinear recursions for the transient and steady-state adaptive weight first and second moments.
- A general theory for LMS, soft limiting of the input, error or both and sign-sign LMS.
The effects of saturation-type nonlinearities on the input and the error in the weight update equation for LMS adaptation are investigated for a stationary white Gaussian data model for system identification. Nonlinear recursions are derived for the transient and steady-state weight first and second moments that include the effect of soft limiters on both the input and the error driving the algorithm. By varying a single parameter of the soft limiter, a general theory is presented that is applicable to LMS, soft limiting of the input, error or both and sign-sign LMS.
Journal: Signal Processing - Volume 142, January 2018, Pages 27-35