کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
4977359 1367710 2018 9 صفحه PDF سفارش دهید دانلود کنید
عنوان انگلیسی مقاله
Stochastic analysis of soft limiters in the LMS algorithm for stationary white Gaussian inputs-A unified theory
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
Stochastic analysis of soft limiters in the LMS algorithm for stationary white Gaussian inputs-A unified theory
چکیده انگلیسی


- 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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 142, January 2018, Pages 27-35
نویسندگان
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