Parametrically Optimal, Robust and Tree-Search Detection of Sparse Signals

• 作者: A. T. Burrell P. Papantoni-Kazakos
• 来源期刊: 信号与信息处理(英文)
• 学科: 医学
• 关键词: SPARSE Signals DETECTION ROBUSTNESS OUTLIER Resistance Tree SEARCH
• 年，卷（期）: 2013,（3）
• 页码范围: 336-342
• 页数: 7页
• 分类号: R73

摘要

We consider sparse signals embedded in additive white noise. We study parametrically optimal as well as tree-search sub-optimal signal detection policies. As a special case, we consider a constant signal and Gaussian noise, with and without data outliers present. In the presence of outliers, we study outlier resistant robust detection techniques. We compare the studied policies in terms of error performance, complexity and resistance to outliers.