rjgaussian.m

大家可以参考的例子滤波源码

function [y] = rjGaussian(mu,x);
% 

if nargin < 2, error('Not enough input arguments.'); end

[N,d] = size(x);      % N = number of data, d = dimension of x.
y=zeros(N,1);
for j=1:N,
  z=norm(x(j,:)-mu(1,:));             % Euclidean distance.
  y(j,1)=exp(-(16*16)*z.^(2));        % Gaussian with fixed width for exp. 1.
%  y(j,1)=exp(-(0.5)*inv(.00001)*z.^(2));        % Gaussian.
end;