Note: This page has been translated by MathWorks. Click here to see

To view all translated materials including this page, select Country from the country navigator on the bottom of this page.

To view all translated materials including this page, select Country from the country navigator on the bottom of this page.

The Rayleigh pdf is

$$y=f(x|b)=\frac{x}{{b}^{2}}{e}^{\left(\frac{-{x}^{2}}{2{b}^{2}}\right)}$$

The Rayleigh distribution is a special case of the Weibull distribution.
If *A* and *B* are the parameters
of the Weibull distribution, then the Rayleigh distribution with parameter *b* is
equivalent to the Weibull distribution with parameters$$A=\sqrt{2}b$$ and *B* =
2.

If the component velocities of a particle in the *x* and *y* directions
are two independent normal random variables with zero means and equal
variances, then the distance the particle travels per unit time is
distributed Rayleigh.

In communications theory, Nakagami distributions, Rician distributions, and Rayleigh distributions are used to model scattered signals that reach a receiver by multiple paths. Depending on the density of the scatter, the signal will display different fading characteristics. Rayleigh and Nakagami distributions are used to model dense scatters, while Rician distributions model fading with a stronger line-of-sight. Nakagami distributions can be reduced to Rayleigh distributions, but give more control over the extent of the fading.

The `raylfit`

function returns the MLE of the
Rayleigh parameter. This estimate is

$$b=\sqrt{\frac{1}{2n}{\displaystyle \sum _{i=1}^{n}{x}_{i}^{2}}}$$

Compute the pdf of a Rayleigh distribution with parameter `B = 0.5`

.

x = [0:0.01:2]; p = raylpdf(x,0.5);

Plot the pdf.

figure; plot(x,p)