An exhaustive review of adaptive signal processing schemes which are robust, sparsity-aware and robust as well as sparsity-aware has been carried out in this paper. Conventional robust learning approaches as well as the ones based on information theoretic methods have been included in the review. Further, adaptive filtering schemes which take advantage of the sparse nature of the system impulse responses have been reviewed, including the ones which are also robust. The cost functions used in these algorithms have been summarized and a timeline of algorithm development in this area has been added to provide an excellent overview on the topic.

中文翻译：

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鲁棒且感知稀疏的自适应滤波器：综述

本文对鲁棒、稀疏感知和鲁棒以及稀疏感知的自适应信号处理方案进行了详尽的回顾。常规的鲁棒学习方法以及基于信息论方法的方法已包含在评论中。此外，已经审查了利用系统脉冲响应的稀疏特性的自适应滤波方案，包括那些也是鲁棒的方案。已经总结了这些算法中使用的成本函数，并添加了该领域算法开发的时间表，以提供对该主题的出色概述。