Sparse separation: principles and tricks
Sparse separation: principles and tricks
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DOI：
10.1117/12.502473
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发表时间：
2003-04
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影响因子：
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通讯作者：
Barak A. Pearlmutter;Vamsi K. Potluru
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文献类型：
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作者：
Barak A. Pearlmutter;Vamsi K. Potluru
由于旋转对称性，线性混合高斯白源的盲分离是不可能的。由于这个原因，所有的盲分离算法都是基于一些假设，这些假设是关于情况偏离不可解情况的方式。在这里，我们讨论稀疏性的假设，并试图把各种算法，使稀疏性的假设在一个共同的框架。本文的主要目的是给出一些粗略的直觉，并为文献提供合适的钩子。
Blind separation of linearly mixed white Gaussian sources is impossible, due to rotational symmetry. For this reason, all blind separation algorithms are based on some assumption concerning the fashion in which the situation departs from that insoluble case. Here we discuss the assumption of sparseness and try to put various algorithms that make the sparseness assumption in a common framework. The main objective of this paper is to give some rough intuitions, and to provide suitable hooks into the literature.