Toward a theory of information processing

Sinan Sinanovic; Don H. Johnson

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Toward a theory of information processing

机译：走向信息处理理论

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Information processing theory endeavors to quantify how well signals encode information and how well systems, by acting on signals, process information. We use information-theoretic distance measures, the Kullback-Leibler distance in particular, to quantify how well signals represent information. The ratio of distances calculated between two informationally different signals at a system's output and input quantifies the system's information processing properties. Using this approach, we derive the fundamental processing capabilities of simple system architectures that apply universally: the systems and the kinds of signals they process and produce do not affect our general results. Applications in array signal processing and in neural signal analysis illustrate how to apply the theory.

机译：信息处理理论致力于通过作用于信号来量化信号对信息的编码方式以及系统对信息的处理方式。我们使用信息理论上的距离度量（尤其是Kullback-Leibler距离）来量化信号表示信息的质量。在系统的输出和输入处，两个信息不同的信号之间计算出的距离之比量化了系统的信息处理属性。使用这种方法，我们得出了普遍应用的简单系统体系结构的基本处理能力：系统及其处理和产生的信号种类不会影响我们的总体结果。在阵列信号处理和神经信号分析中的应用说明了如何应用该理论。

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来源
《Signal processing》 |2007年第6期|p.1326-1344|共19页
作者
Sinan Sinanovic; Don H. Johnson;
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作者单位

Department of Electrical and Computer Engineering, Computer and Information Technology Institute, MS 380, Rice University, 6100 Main Street, Houston, Texas 77005-1892, USA;

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原文格式 PDF
正文语种 eng
中图分类通信;
关键词
information theory; information processing; kullback-leibler distance;

机译：信息论;信息处理;kullback-leibler距离;

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Toward a theory of information processing

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