کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
558675 874965 2007 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Data block adaptive filtering algorithms for α-stable random processes
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
Data block adaptive filtering algorithms for α-stable random processes
چکیده انگلیسی

The least mean p-norm (LMP) algorithm is an effective algorithm for processing the signal of α-stable distribution. This paper proposes data block adaptive filtering algorithms for the α-stable random processes based on the fractional lower order statistics (FLOS). The data block algorithms change the direction of coefficient increment vector by introducing a matrix which includes the information of more past input signal vectors than which are used in the LMP algorithm during the iteration process, taking full advantage of the past values of the gradient vector during the adaptation. Simulations studies indicate that the proposed algorithms increase convergence rate in non-Gaussian stable distribution noise environments compared to the existing algorithms based on FLOS summarized in this paper.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Digital Signal Processing - Volume 17, Issue 4, July 2007, Pages 836-847