# MATLAB Simulations for Radar Systems Design

### Bassem Mahafza (view profile)

• 1 file
• 4.36765

11 Sep 2003 (Updated )

MATLAB Simulations for Radar Systems Design

normrnd(mu,sigma,m,n);
function r = normrnd(mu,sigma,m,n);
%NORMRND Random matrices from normal distribution.
%   R = NORMRND(MU,SIGMA) returns a matrix of random numbers chosen
%   from the normal distribution with parameters MU and SIGMA.
%
%   The size of R is the common size of MU and SIGMA if both are matrices.
%   If either parameter is a scalar, the size of R is the size of the other
%   parameter. Alternatively, R = NORMRND(MU,SIGMA,M,N) returns an M by N
%   matrix.

%   Copyright (c) 1993-98 by The MathWorks, Inc.
%   \$Revision: 2.5 \$  \$Date: 1997/11/29 01:46:17 \$

if nargin < 2,
error('Requires at least two input arguments.');
end

if nargin == 2
[errorcode rows columns] = rndcheck(2,2,mu,sigma);
end

if nargin == 3
[errorcode rows columns] = rndcheck(3,2,mu,sigma,m);
end

if nargin == 4
[errorcode rows columns] = rndcheck(4,2,mu,sigma,m,n);
end

if errorcode > 0
error('Size information is inconsistent.');
end

%Initialize r to zero.
r = zeros(rows, columns);

r = randn(rows,columns) .* sigma + mu;

% Return NaN if SIGMA is not positive.
if any(any(sigma <= 0));
if prod(size(sigma) == 1)
tmp = NaN;
r = tmp(ones(rows,columns));
else
k = find(sigma <= 0);
tmp = NaN;
r(k) = tmp(ones(size(k)));
end
end