...键词： 噪声去除；自适应稀疏表示；原子库训练；正交匹配追踪 [gap=1120]keywords: denoising; adaptive sparse representation; dictionary learning; orthogonal matching pursuit ...
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The modified algorithm reduces the influence of noise on L-R algorithm effectively by using de-noise algorithm based on adaptive sparse representation.
这种改进算法通过使用基于自适应稀疏表示的去噪算法有效地减少了噪声对L-R算法的影响。
As a novel signal processing method, adaptive sparse representation has a merit of representing signal flexibly and can de-noise effectively when maintaining features of targets.
自适应稀疏表示，作为一种新的信号处理方法，具有表达信号灵活的特点，能够在保持目标特征的同时有效地去除噪声。
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