کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
564896 875654 2007 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The robustness analysis of DLMP algorithm under the fractional lower-order α-stable distribution environments
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
The robustness analysis of DLMP algorithm under the fractional lower-order α-stable distribution environments
چکیده انگلیسی

The direct least mean p-norm (DLMP) algorithm is a robust algorithm for time delay estimation under both Gaussian and fractional lower-order α-stable noise conditions. This paper briefly reviews the fundamental theory of α-stable distribution, abstracts two important theorems of fractional lower-order statistics, and under the Gaussian signal assumption, analyzes the convergence property of the DLMP algorithm, including the convergence property of the cost function, the unbiasness of the estimator and the appropriate selection of the convergence parameter μ. The improved performance of DLMP algorithm is clearly demonstrated through comprehensive simulations and detailed data analysis for estimating the latency changes of evoked potential (EP) signals.In the case of p=2, it is presented that DLMP algorithm keeps consistent with DLMS algorithm, which is based on second-order statistics, involving the cost function, the unbiasness of the estimator and the selection of the convergence parameter. Therefore, this paper proves that DLMP algorithm is a generalization of DLMS algorithm in α-stable distribution noisy environments.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 87, Issue 7, July 2007, Pages 1709–1720
نویسندگان
, , ,