Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
Hostname: page-component-8448b6f56d-xtgtn Total loading time: 0 Render date: 2024-04-24T12:28:55.129Z Has data issue: false hasContentIssue false

1 - Coding and Capacity

Published online by Cambridge University Press:  05 June 2012

William Ryan  and
Shu Lin
William Ryan
Affiliation:
Zeta Associates Inc.
Shu Lin
Affiliation:
University of California, Davis
Get access

Summary

Digital Data Communication and Storage

Digital communication systems are ubiquitous in our daily lives. The most obvious examples include cell phones, digital television via satellite or cable, digital radio, wireless internet connections via Wi-Fi and WiMax, and wired internet connection via cable modem. Additional examples include digital data-storage devices, including magnetic (“hard”) disk drives, magnetic tape drives, optical disk drives (e.g., CD, DVD, blu-ray), and flash drives. In the case of data-storage, information is communicated from one point in time to another rather than one point in space to another. Each of these examples, while widely different in implementation details, generally fits into a common digital communication framework first established by C. Shannon in his 1948 seminal paper, A Mathematical Theory of Communication. This framework is depicted in Figure 1.1, whose various components are described as follows.

Source and user (or sink). The information source may be originally in analog form (e.g., speech or music) and then later digitized, or it may be originally in digital form (e.g., computer files). We generally think of its output as a sequence of bits, which follow a probabilistic model. The user of the information may be a person, a computer, or some other electronic device.

Source encoder and source decoder. The encoder is a processor that converts the information source bit sequence into an alternative bit sequence with a more efficient representation of the information, i.e., with fewer bits. […]

Type
Chapter
Information
Channel Codes
Classical and Modern
 , pp. 1 - 27
Publisher: Cambridge University Press
Print publication year: 2009

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×