盲信号处理算法在图像分离中的应用——图像分离中的盲信号处理

2019 International SoC Design Conference (ISOCC) Pub Date : 2019-10-06 DOI:10.1109/ISOCC47750.2019.9078531

Chuen-Yau Chen, Cheng-Yuan Lin, Wei-Ching Liu, Yen-Ting Chen

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引用次数: 0

摘要

本文利用相对梯度法和界分量分析算法，提出了相对梯度界分量分析算法。该算法不需要计算逆矩阵和协方差矩阵。它可以成功地分离混合图像而不产生白化。该算法的时间复杂度和空间复杂度均低于原有的边界分量分析算法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Application of Blind-Signal-Processing Algorithm in Image Separation - Blind-Signal-Processing in Image Separation

We take advantage of the relative gradient method and the bound component analysis algorithm to propose the relativegradient bound component analysis algorithm in this paper. This algorithm does not need to compute the inverse matrix and the covariance matrix. It can succesfully separate the mixed pictures without whitening. The time complexity and the space complexity of this algorithm are both lower than those of the original bound component analysis algorithm.

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2019 International SoC Design Conference (ISOCC)

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