论文标题

Yonder:用于数据降解和重建的Python软件包

yonder: A python package for data denoising and reconstruction

论文作者

Chen, Peng, de Souza, Rafael S.

论文摘要

我们提出了基于单数值分解的数据 - 卷卷积方法的独立实现。该工具用Python编写,并用开源Yonder包装打包。 Yonder接收到输入两个矩阵,一个用于数据,另一个用于错误,并输出了原始数据集的DeNoied版本。在本研究说明中,我们简要描述了该方法,并在模拟数据集上显示了yonder的演示。

We present a standalone implementation of a data-deconvolution method based on singular value decomposition. The tool is written in python and packaged in the open-source yonder package. yonder receives as input two matrices, one for the data and another for the errors, and outputs a denoised version of the original dataset. In this Research Note, we briefly describe the methodology and show a demonstration of the yonder on a simulated dataset.

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