Convergence Analysis of Noise Robust Modified AP(affine projection) Algorithm
نویسندگان
چکیده
منابع مشابه
Convergence Analysis of a Stochastic Projection-free Algorithm
In this paper, the online variants of the classical Frank-Wolfe algorithm are considered. We consider minimizing the regret with a stochastic cost. The online algorithms only require simple iterative updates and a non-adaptive step size rule, in contrast to the hybrid schemes commonly considered in the literature. Several new results are derived for convex and non-convex losses. With a strongly...
متن کاملA Robust Distributed Estimation Algorithm under Alpha-Stable Noise Condition
Robust adaptive estimation of unknown parameter has been an important issue in recent years for reliable operation in the distributed networks. The conventional adaptive estimation algorithms that rely on mean square error (MSE) criterion exhibit good performance in the presence of Gaussian noise, but their performance drastically decreases under impulsive noise. In this paper, we propose a rob...
متن کاملStrong convergence of modified gradient-projection algorithm for constrained convex minimization problems
In this article, a modified gradient-projection algorithm (GPA) is introduced, which combines Xu’s idea of an alternative averaged mapping approach to the GPA and the general iterative method for nonexpansive mappings in Hilbert space introduced by Marino and Xu. Under suitable conditions, it is proved that the strong convergence of the sequences generated by implicit and explicit schemes to a ...
متن کاملModified frame algorithm and its convergence acceleration by Chebyshev method
The aim of this paper is to improve the convergence rate of frame algorithm based on Richardson iteration and Chebyshev methods. Based on Richardson iteration method, we first square the existing convergence rate of frame algorithm which in turn the number of iterations would be bisected and increased speed of convergence is achieved. Afterward, by using Chebyshev polynomials, we improve this s...
متن کاملModified Filtered-x Affine Projection Sign Algorithm for Active Control of Impulsive Noise
For active noise control problems, when noise sources are contaminated by impulsive noise, the classic FxLMS converges slowly or even diverges. In order to effectively control such impulsive noise sources, by minimizing the L1-norm of an error vector, a modified filteredx affine projection sign algorithm (MFxAPSA) has been proposed. An exact efficient implementation can greatly reduce its numbe...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of information and communication convergence engineering
سال: 2010
ISSN: 2234-8255
DOI: 10.6109/jicce.2010.8.1.023