r = raylrnd(b) generates a random number from each Rayleigh distribution specified by the scale parameter b. You can specify b as a scalar, vector, matrix, or multidimensional array. example

R = raylrnd(B,v) returns a matrix of random numbers chosen from the Rayleigh distribution with parameter B, where v is a row vector. If v is a 1-by-2 vector, R is a matrix with v(1) rows and v(2) columns.

Jul 4, 2023 · To generate a complex random variable with a Rayleigh or Weibull distribution, you can use the raylrnd or wblrnd functions in MATLAB, respectively. Here is an example code snippet that generates a complex random variable with a specified power level:

Jun 27, 2009 · The RAYLRND function within the Statistics Toolbox 4.0 (R13) performs this generation. For more information on this function, type 'help RAYLRND' at the MATLAB Command Prompt. If you have installed the documentation, type 'doc RAYLRND' to see the documentation for this function.

Create a RayleighDistribution object and use RayleighDistribution object functions. Use distribution-specific functions with specified distribution parameters. The functions can accept parameters of multiple Rayleigh distributions.

raylrnd. Random matrices from the Rayleigh distribution. Syntax. R = raylrnd(B) R = raylrnd(B,m) R = raylrnd(B,m,n) Description. R = raylrnd(B) returns a matrix of random numbers chosen from the Rayleigh distribution with parameter B. The size of R is the size of B.

Jul 9, 2014 · raylrnd - Rayleigh random numbers. slicesample - Slice sampling method. trnd - T random numbers. unidrnd - Discrete uniform random numbers.

Aug 29, 2021 · There are at least two ways to generate instances of Rayleigh random variables in MATLAB: using randn.m and using raylrnd.m. To use randn.m, just call it twice to create two independent zero-mean unit-variance Gaussian random variables, and then compute the square root of the sum of their squares.

If you have the Statistics and Machine Learning Toolbox, then you can generate n Rayleigh-distributed random numbers using the raylrnd function: r = raylrnd(b,n,1); Choose the parameter b to be equal to the mean you want times sqrt(2/pi) .

You can create a Rayleigh distribution in MATLAB using the raylrnd function. If you want to model changes in user equipment distance, you can generate a new set of samples by specifying different scale parameters for the Rayleigh distribution.