利用加权_1球上的投影降低了在线稀疏信号重构的复杂度

2011 17th International Conference on Digital Signal Processing (DSP) Pub Date : 2011-07-06 DOI:10.1109/ICDSP.2011.6005005

Y. Kopsinis, K. Slavakis, S. Theodoridis, S. McLaughlin

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引用次数: 6

摘要

提出了一种新的稀疏信号在线重构方法。特别是，引入了子维度投影的概念，它允许使用加权1球(APWL1)的基于自适应投影的算法显著降低复杂性。这是在不牺牲性能的情况下实现的。在静态和时变环境下对该方法进行了评估，并将其性能与最新的在线和批量lasso方法进行了比较。

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Reduced complexity online sparse signal reconstruction using projections onto weighted ℓ1 balls

This paper presents a novel online method for sparse signal reconstruction. In particular, the notion of sub-dimensional projections is introduced, which allows a significant complexity reduction in the Adaptive Projection-based Algorithm using Weighted ℓ1 balls (APWL1). This is achieved without sacrificing performance. The proposed method is evaluated in both stationary and time-varying environments and its performance is compared with state-of-the-art online and batch LASSO-based methods.

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2011 17th International Conference on Digital Signal Processing (DSP)

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