9781601983480-1601983484-Linear Predictive Coding and the Internet Protocol

Linear Predictive Coding and the Internet Protocol

ISBN-13: 9781601983480
ISBN-10: 1601983484
Author: Robert M. Gray
Publication date: 2010
Publisher: Now Publishers
Format: Hardcover 182 pages
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Book details

ISBN-13: 9781601983480
ISBN-10: 1601983484
Author: Robert M. Gray
Publication date: 2010
Publisher: Now Publishers
Format: Hardcover 182 pages

Summary

Linear Predictive Coding and the Internet Protocol (ISBN-13: 9781601983480 and ISBN-10: 1601983484), written by authors Robert M. Gray, was published by Now Publishers in 2010. With an overall rating of 4.3 stars, it's a notable title among other Business Technology (Internet, Groupware, & Telecommunications, Networking & Cloud Computing, Intranets & Extranets, Speech & Audio Processing, Digital Audio, Video & Photography ) books. You can easily purchase or rent Linear Predictive Coding and the Internet Protocol (Hardcover) from BooksRun, along with many other new and used Business Technology books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

In December 1974 the first realtime conversation on the ARPAnet took place between Culler- Harrison Incorporated in Goleta, California, and MIT Lincoln Laboratory in Lexington, Massachusetts. This was the first successful application of realtime digital speech communication over a packet network and an early milestone in the explosion of realtime signal processing of speech, audio, images, and video that we all take for granted today. It could be considered as the first voice over Internet Protocol (VoIP), except that the Internet Protocol (IP) had not yet been established. In fact, the interest in realtime signal processing had an indirect, but major, impact on the development of IP. This is the story of the development of linear predictive coded (LPC) speech and how it came to be used in the first successful packet speech experiments. Several related stories are recounted as well. The history is preceded by a tutorial on linear prediction methods which incorporates a variety of views to provide context for the stories. This part is a technical survey of the fundamental ideas of linear prediction that are important for speech processing, but the development departs from traditional treatments and takes advantage of several shortcuts, simplifications, and unifications that come with years of hindsight. In particular, some of the key results are proved using short and simple techniques that are not as well known as they should be, and it also addresses some of the common assumptions made when modeling random signals. The reader interested only in the history and already familiar with or uninterested in the technical details of linear prediction and speech may skip Part I entirely.

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