Though originally developed for communications engineering, information theory contains mathematical tools with numerous applications in science and engineering. These tools can be used to characterize the fundamental limits of data compression and transmission in the presence of noise. Here, we present a practical guide to key concepts in information theory, focusing on intuitions and providing visual explanations wherever possible. Our presentation assumes only a familiarity with basic probability theory.
翻译:尽管信息理论最初是为通信工程而开发的,但信息理论包含数学工具,在科学和工程方面有许多应用。这些工具可以用来描述在噪音面前数据压缩和传输的基本限度。在这里,我们提出了一个信息理论关键概念的实用指南,侧重于直觉,并尽可能提供直觉解释。我们的演示只假定我们熟悉基本概率理论。