A study of distance/similarity measurements in the context of signal processing (density estimation)

D. M. Souza, I. A. Costa, R. Nobrega
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引用次数: 1

Abstract

Currently the number of applications where the data generation function is not known has been growing, making necessary the use of non-parametric estimation techniques to describe such model. Therefore, relevant questions emerge regarding the quality of the model that represents some dataset and how to quantify this quality. This article aims to evaluate some of the measurements presented in the literature used for this purpose, evaluating different pdf regions in the context of goodness of fit.
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信号处理(密度估计)中距离/相似性测量的研究
目前,数据生成函数未知的应用越来越多,因此有必要使用非参数估计技术来描述这类模型。因此,出现了有关代表某些数据集的模型的质量以及如何量化这种质量的相关问题。本文旨在评估用于此目的的文献中提出的一些测量方法,在拟合优度的背景下评估不同的pdf区域。
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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