کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6960297 | 1451970 | 2014 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A unified view of adaptive algorithms for finite impulse response filters using the Hâ framework
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
پردازش سیگنال
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
The normalized least mean squares (NLMS) and recursive least squares (RLS) algorithms are widely used for adaptive filtering. Interestingly, the NLMS algorithm has been shown to be strictly optimal in the sense of Hâ filtering, whereas the forgetting factor RLS algorithm has not been clearly related to a solution to the Hâ filtering problem. This paper describes a method for further optimizing the solutions to the ordinary Hâ filtering problem over an assumed system model set and a predetermined norm weight set. The extended Hâ filtering problem offers a framework for constructing a unified view of adaptive algorithms for finite impulse response (FIR) filters. The framework enables a discussion of the relationships among the NLMS algorithm, the forgetting factor RLS algorithm, and the Hâ filter over the common parameter space, and facilitates the development of new fast adaptive algorithms that outperform the existing algorithms, such as the NLMS and the fast RLS algorithms. The validity of the discussion based on the Hâ framework is verified using numerical examples.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 97, April 2014, Pages 55-63
Journal: Signal Processing - Volume 97, April 2014, Pages 55-63
نویسندگان
Kiyoshi Nishiyama,