使用基于copula的依赖源分离对正反文档进行分离

2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM) Pub Date : 2020-06-01 DOI:10.1109/SAM48682.2020.9104250

A. Keziou, N. Mamouni, H. Fenniri

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引用次数: 1

摘要

对于分离独立/依赖源分量的线性瞬时混合物，我们扩展了[1]提出的独立/依赖盲源分离方法，以涵盖源分量的依赖结构和相关参数都未知的更一般的情况。给出了一种分离扫描的正反文档的应用程序。

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Separation of recto-verso documents using copula based dependent source separation

For separating linear instantaneous mixtures of independent/dependent source components, we extend the independent/dependent blind source separation method, proposed by [1], to cover the more general case, where the dependency structure of the source components and the related parameter are both unknown. An application is given for separating scanned recto-verso documents.

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2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)

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