A novel Matching Pursuit algorithm with adaptive subdictionary

Guo Jinku, Li Guangbin, Yang Xiaojun
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引用次数: 7

Abstract

Sparse decomposition of a signal can be obtained by decomposing the signal in an over complete dictionary. Matching Pursuit (MP) is a greedy algorithm to realize such decompositions, and has been widely studied in many signal processing researches. Through exploiting the structure shared by these so-called adaptive decomposition dictionaries, we propose a novel MP algorithm which can reduce computation and storage requirement dramatically.
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一种新的自适应子字典匹配追踪算法
信号的稀疏分解可以通过在一个过完备字典中分解信号来实现。匹配追踪算法是实现这种分解的一种贪婪算法,在许多信号处理研究中得到了广泛的研究。通过利用这些所谓的自适应分解字典的共享结构,我们提出了一种新的MP算法,可以显着减少计算量和存储需求。
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