File:Binaryerasurechannel.png

Size of this preview: 655 × 600 pixels. Other resolutions: 262 × 240 pixels | 524 × 480 pixels | 666 × 610 pixels.
Original file (666 × 610 pixels, file size: 2 KB, MIME type: image/png)
File information
Structured data
Captions
Captions
Add a one-line explanation of what this file represents
Summary
editLicensing
editPublic domainPublic domainfalsefalse |
![]() |
This work has been released into the public domain by its author, Edratzer at English Wikipedia. This applies worldwide. In some countries this may not be legally possible; if so: Edratzer grants anyone the right to use this work for any purpose, without any conditions, unless such conditions are required by law.Public domainPublic domainfalsefalse |
Original upload log
editThe original description page was here. All following user names refer to en.wikipedia.
- 2006-09-11 19:29 Edratzer 666×610× (2487 bytes) Diagram by Edward Ratzer. Released
File history
Click on a date/time to view the file as it appeared at that time.
Date/Time | Thumbnail | Dimensions | User | Comment | |
---|---|---|---|---|---|
current | 20:35, 17 April 2011 | ![]() | 666 × 610 (2 KB) | File Upload Bot (Magnus Manske) (talk | contribs) | {{BotMoveToCommons|en.wikipedia|year={{subst:CURRENTYEAR}}|month={{subst:CURRENTMONTHNAME}}|day={{subst:CURRENTDAY}}}} {{Information |Description={{en|Diagram by Edward Ratzer. Released}} |Source=Transferred from [http://en.wikipedia.org en.wikipedia]; |
You cannot overwrite this file.
File usage on Commons
There are no pages that use this file.
File usage on other wikis
The following other wikis use this file:
- Usage on af.wikipedia.org
- Usage on ar.wikipedia.org
- Usage on bn.wikipedia.org
- Usage on de.wikipedia.org
- Usage on en.wikipedia.org
- Information theory
- Entropy (information theory)
- Shannon–Hartley theorem
- Rate–distortion theory
- Channel capacity
- Asymptotic equipartition property
- Mutual information
- Conditional entropy
- Joint entropy
- Shannon's source coding theorem
- Cross-entropy
- Noisy-channel coding theorem
- Differential entropy
- Binary erasure channel
- Entropy rate
- Limiting density of discrete points
- Conditional mutual information
- Distributed source coding
- Slepian–Wolf coding
- Template:Information theory
- Usage on ja.wikipedia.org
View more global usage of this file.