线性预测编码综述:线性预测编码与互联网协议第一部分

R. Gray
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引用次数: 7

摘要

线性预测长期以来在语音处理中发挥着重要作用,特别是在20世纪60年代末第一个低比特率语音压缩/编码系统的发展中。这种方法最终被称为线性预测编码(LPC),巧合的是,它在1974年12月通过新生的阿帕网(ARPAnet)进行的第一次成功的实时分组语音通信中被用作语音压缩技术。阿帕网是互联网协议语音(IP)的祖先,更广泛地说,是通过互联网进行的实时信号处理。这是关于LPC和IP的两部分专著的第一部分,提供了线性预测及其在语音编码中的应用的教程概述。各种观点为第二部分提供了背景和上下文,其中包括LPC的技术和个人历史,它在第一个分组语音演示中的使用,以及LPC早期应用和互联网史前的许多相关故事。
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A Survey of Linear Predictive Coding: Part I of Linear Predictive Coding and the Internet Protocol
Linear prediction has long played an important role in speech processing, especially in the development during the late 1960s of the first low bit rate speech compression/coding systems. The approach, which eventually became known as linear predictive coding (LPC), coincidentally came to fruition at the right time to be adopted as the speech compression technique in the first successful realtime packet speech communication through the nascent ARPAnet in December 1974 — the ancestor of voice over the Internet Protocol (IP) and, more generally, of realtime signal processing through the Internet. This first part of a two part monograph on LPC and the IP provides a tutorial overview of linear prediction and its application to speech coding. A variety of viewpoints provides background and context for the second part, which comprises a technical and personal history of LPC, its use in the first packet speech demonstrations, and many related stories of the early applications of LPC and the prehistory of the Internet.
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