Irreducible component: Difference between revisions
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{{Probability distribution| | |||
name =Raised cosine| | |||
type =density| | |||
pdf_image =[[Image:RCosine distribution PDF.png|325px|Plot of the raised cosine PDF]]<br /><small></small>|| | |||
cdf_image =[[Image:RCosine distribution CDF.png|325px|Plot of the raised cosine CDF]]<br /><small></small>| | |||
parameters =<math>\mu\,</math>([[real number|real]])<br> | |||
<math>s>0\,</math>([[real number|real]])| | |||
support =<math>x \in [\mu-s,\mu+s]\,</math>| | |||
pdf =<math>\frac{1}{2s} | |||
\left[1+\cos\left(\frac{x\!-\!\mu}{s}\,\pi\right)\right]\,</math>| | |||
cdf =<math>\frac{1}{2}\left[1\!+\!\frac{x\!-\!\mu}{s} | |||
\!+\!\frac{1}{\pi}\sin\left(\frac{x\!-\!\mu}{s}\,\pi\right)\right]</math>| | |||
mean =<math>\mu\,</math>| | |||
median =<math>\mu\,</math>| | |||
mode =<math>\mu\,</math>| | |||
variance =<math>s^2\left(\frac{1}{3}-\frac{2}{\pi^2}\right)\,</math>| | |||
skewness =<math>0\,</math>| | |||
kurtosis =<math>\frac{6(90-\pi^4)}{5(\pi^2-6)^2}\,</math>| | |||
entropy =| | |||
mgf =<math>\frac{\pi^2\sinh(s t)}{st(\pi^2+s^2 t^2)}\,e^{\mu t}</math>| | |||
char =<math>\frac{\pi^2\sin(s t)}{st(\pi^2-s^2 t^2)}\,e^{i\mu t}</math>| | |||
}} | |||
In [[probability theory]] and [[statistics]], the '''raised cosine distribution''' is a continuous [[probability distribution]] supported on the interval <math>[\mu-s,\mu+s]</math>. The [[probability density function]] is | |||
:<math>f(x;\mu,s)=\frac{1}{2s} | |||
\left[1+\cos\left(\frac{x\!-\!\mu}{s}\,\pi\right)\right]\,</math> | |||
for <math>\mu-s \le x \le \mu+s</math> and zero otherwise. The cumulative distribution function is | |||
:<math>F(x;\mu,s)=\frac{1}{2}\left[1\!+\!\frac{x\!-\!\mu}{s} | |||
\!+\!\frac{1}{\pi}\sin\left(\frac{x\!-\!\mu}{s}\,\pi\right)\right]</math> | |||
for <math>\mu-s \le x \le \mu+s</math> and zero for <math>x<\mu-s</math> and unity for <math>x>\mu+s</math>. | |||
The [[moment (mathematics)|moments]] of the raised cosine distribution are somewhat complicated, but are considerably simplified for the standard raised cosine distribution. The standard raised cosine distribution is just the raised cosine distribution with <math>\mu=0</math> and <math>s=1</math>. Because the standard raised cosine distribution is an [[Even and odd functions|even function]], the odd moments are zero. The even moments are given by: | |||
:<math>E(x^{2n})=\frac{1}{2}\int_{-1}^1 [1+\cos(x\pi)]x^{2n}\,dx </math> | |||
:<math>= \frac{1}{n\!+\!1}+\frac{1}{1\!+\!2n}\,_1F_2 | |||
\left(n\!+\!\frac{1}{2};\frac{1}{2},n\!+\!\frac{3}{2};\frac{-\pi^2}{4}\right)</math> | |||
where <math>\,_1F_2</math> is a [[generalized hypergeometric function]]. | |||
==See also== | |||
* [[Hann function]] | |||
== References == | |||
*{{Cite web | |||
| author = Horst Rinne | |||
| url = http://geb.uni-giessen.de/geb/volltexte/2010/7607/pdf/RinneHorst_LocationScale_2010.pdf | |||
| title = Location-Scale Distributions - Linear Estimation and Probability Plotting Using MATLAB | |||
| year = 2010 | |||
| page = 116 | |||
| accessdate = 2012-11-16 | |||
}} | |||
{{ProbDistributions|continuous-bounded}} | |||
{{DEFAULTSORT:Raised Cosine Distribution}} | |||
[[Category:Continuous distributions]] | |||
[[Category:Probability distributions]] |
Revision as of 11:32, 1 November 2013
Template:Probability distribution In probability theory and statistics, the raised cosine distribution is a continuous probability distribution supported on the interval . The probability density function is
for and zero otherwise. The cumulative distribution function is
for and zero for and unity for .
The moments of the raised cosine distribution are somewhat complicated, but are considerably simplified for the standard raised cosine distribution. The standard raised cosine distribution is just the raised cosine distribution with and . Because the standard raised cosine distribution is an even function, the odd moments are zero. The even moments are given by:
where is a generalized hypergeometric function.
See also
References
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