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Characterization of wavelet-based image coding systems for algorithmic fault detection

机译:基于小波的图像编码系统的算法故障检测

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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.
机译:本文提出了一种在出现故障时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有效的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可以在算法级别上更好地描述(即,通过大数据块检查给定功能属性的完成情况),而不是在结构(即构件块)上使用“经典”方法)级别。因此,解决了与算法故障检测有关的问题。提出了两种不同的错误表征平台,并讨论了它们的主要特性。实验结果表明,该方法适用于目标应用。

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