概述了减少遥测信息冗余的方法

F. N. Baibekova, V. V. Podoltsev, N. M. Bespalova, L. A. Sologubova
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引用次数: 2

摘要

遥测信息的冗余性使信息流的实时处理变得非常复杂。为了加快遥测处理过程,应采用减少遥测信息冗余的方法,以减少进入监测系统的遥测信息流量,同时保持信息的高处理速度和可靠性。本文综述了减少遥测信息冗余的方法,如提高遥测信道的物理速率、霍夫曼算法、遥测信息的批量生成和传输机制、自适应差分算法、基于残差图像表示的信息传输算法、Golomb-Rice码、可逆压缩法等。考虑了每一种方法的优点和缺点。给出了使用多级遥测信息压缩系统的建议,它可以有效地结合目标数据压缩算法,根据传输的遥测信息类型提供最高的压缩比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Overview of the ways to reduce telemetric information redundancy
The redundancy of telemetric information significantly complicates the real-time processing of the information flows. To speed up the telemetry processing process, the methods for telemetric information redundancy reduction should be applied in order to reduce its flows entering the monitoring systems while maintaining a high speed of processing and reliability of the information. The article provides an overview of the methods for reduction of telemetric information redundancy, such as the increase in PHY-rate of telemetry channel, the Huffman algorithm, the batch mechanism for generation and transmission of telemetry information, the adaptive difference algorithm, the algorithm for transmission of the information based on its representation by residual images, Golomb-Rice codes, reversible compression method. The advantages and disadvantages of each of them are considered. Recommendations on the use of multi-level telemetry information compression system are given, which makes it possible to effectively combine target data compression algorithms that give the highest compression ratio depending on the type of telemetry information transmitted.
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