Open main menu
Home
Random
Recent changes
Special pages
Community portal
Preferences
About Wikipedia
Disclaimers
Incubator escapee wiki
Search
User menu
Talk
Dark mode
Contributions
Create account
Log in
Editing
Channel capacity
(section)
Warning:
You are not logged in. Your IP address will be publicly visible if you make any edits. If you
log in
or
create an account
, your edits will be attributed to your username, along with other benefits.
Anti-spam check. Do
not
fill this in!
== Formal definition == The basic mathematical model for a communication system is the following: :<math title="Channel model">\xrightarrow[\text{Message}]{W} \begin{array}{|c|}\hline \text{Encoder} \\ f_n \\ \hline\end{array} \xrightarrow[\mathrm{Encoded \atop sequence}]{X^n} \begin{array}{|c|}\hline \text{Channel} \\ p(y|x) \\ \hline\end{array} \xrightarrow[\mathrm{Received \atop sequence}]{Y^n} \begin{array}{|c|}\hline \text{Decoder} \\ g_n \\ \hline\end{array} \xrightarrow[\mathrm{Estimated \atop message}]{\hat W} </math> where: * <math>W</math> is the message to be transmitted; * <math>X</math> is the channel input symbol (<math>X^n</math> is a sequence of <math>n</math> symbols) taken in an [[Alphabet (formal languages)|alphabet]] <math>\mathcal{X}</math>; * <math>Y</math> is the channel output symbol (<math>Y^n</math> is a sequence of <math>n</math> symbols) taken in an alphabet <math>\mathcal{Y}</math>; * <math>\hat{W}</math> is the estimate of the transmitted message; * <math>f_n</math> is the encoding function for a block of length <math>n</math>; * <math>p(y|x) = p_{Y|X}(y|x)</math> is the noisy channel, which is modeled by a [[conditional probability distribution]]; and, * <math>g_n</math> is the decoding function for a block of length <math>n</math>. Let <math>X</math> and <math>Y</math> be modeled as random variables. Furthermore, let <math> p_{Y|X}(y|x)</math> be the [[conditional probability distribution]] function of <math>Y</math> given <math>X</math>, which is an inherent fixed property of the communication channel. Then the choice of the [[marginal distribution]] <math>p_X(x)</math> completely determines the [[Joint probability distribution|joint distribution]] <math>p_{X,Y}(x,y)</math> due to the identity :<math>\ p_{X,Y}(x,y)=p_{Y|X}(y|x)\,p_X(x) </math> which, in turn, induces a [[mutual information]] <math>I(X;Y)</math>. The '''channel capacity''' is defined as :<math>\ C = \sup_{p_X(x)} I(X;Y)\, </math> where the [[Infimum and supremum|supremum]] is taken over all possible choices of <math>p_X(x)</math>.
Edit summary
(Briefly describe your changes)
By publishing changes, you agree to the
Terms of Use
, and you irrevocably agree to release your contribution under the
CC BY-SA 4.0 License
and the
GFDL
. You agree that a hyperlink or URL is sufficient attribution under the Creative Commons license.
Cancel
Editing help
(opens in new window)