被突变破坏的信号的连续演化分类

Proceedings of 1994 Workshop on Information Theory and Statistics Pub Date : 1994-10-27 DOI:10.1109/WITS.1994.513924

T. Robert, J. Tourneret

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引用次数: 1

摘要

贝叶斯决策理论是基于一个假设，即决策问题是以概率形式提出的，并且所有相关的概率值都是已知的。本文的目的是展示盲滑动窗口AR模型是如何被突然的模型变化所破坏的，并推导出这些参数的统计研究。

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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Continuously evolving classification of signals corrupted by an abrupt change

Bayes decision theory is based on the assumption that the decision problem is posed in probabilistic terms, and that all of the relevant probability values are known. The aim of this paper is to show how blind sliding window AR modeling is corrupted by an abrupt model change and to derive a statistical study of these parameters.

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Proceedings of 1994 Workshop on Information Theory and Statistics

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