sparse signal representation

基本解释

It first de-noises by employing sparse signal representation, and then restores images by using L-R algorithm.
首先采用稀疏信号表示的方法进行去噪，然后使用L-R算法进行图像恢复。
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As sparse signal representation has greater flexibility in matching structure in the signal, it can be used in ISAR imaging.
稀疏信号表示在与信号结构匹配方面具有很大的灵活性，可以用于逆合成孔径雷达（ISAR）成像。
The recognition problem is taken as one of classifying among multiple linear regression models, and sparse signal representation is used to solve this problem.
将识别问题看作是多个线性回归模型中的分类问题，并用稀疏表示理论解决这些问题。