基于小波的图像编码系统故障检测算法

L. Costas, J. Rodríguez-Andina
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引用次数: 1

摘要

本文提出了一种在存在故障的情况下表征基于小波的图像编码系统行为的方法。这是为此类系统开发高效并发错误检测技术的前一步。复杂信号处理系统的错误行为最好在算法层面(即,通过大数据块检查给定功能属性的完成)进行描述,而不是在结构(即,构建块)层面使用“经典”方法。因此,解决了算法故障检测的相关问题。给出了两种不同的误差表征平台,并讨论了它们的主要特点。实验结果证明了该方法对目标应用的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterization of wavelet-based image coding systems for algorithmic fault detection
This paper presents a methodology for characterizing the behaviour of wavelet-based image coding systems in the presence of faults. This is a previous step in the development of efficient concurrent error detection techniques for such systems. The faulty behaviour of complex signal processing systems is better described at the algorithmic level (i.e., checking the accomplishment of a given functional property by large blocks of data) rather than using the ''classical'' approach at the structural (i.e., building block) level. Therefore, the issues related to algorithmic fault detection are addressed. Two different platforms for error characterization are presented and their main characteristics are discussed. Experimental results are presented that prove the suitability of the proposed methodology for the target application.
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