20-Jun-2024 08:44:35

cnoise_test():
  MATLAB/Octave version 6.4.0
  Test cnoise().

cnoise_test01():
  Test f_alpha_gaussian().
  Noise is generated from a Gaussian distribution
  with a specified variance.

  Number of realizations M = 10000
  Dimension of noise vector N = 10000
  Noise exponent ALPHA = 1.000000
  Variance of Gaussian distribution VAR = 1.000000
  Scale factor SCALE = 1.000000

  Mean value of noise = -0.008647
  STD of noise        = 0.808832
  Computation time    = 386.317872 seconds

cnoise_test02():
  Test f_alpha_tgaussian().
  Noise is generated from a truncated Gaussian distribution
  with a specified variance and range.

  Number of realizations M = 10000
  Dimension of noise vector N = 10000
  Noise exponent ALPHA = 1.000000
  Variance of Gaussian distribution VAR = 1.000000
  Truncated range = [ -1.000000, 1.000000 ]
  Scale factor SCALE = 1.000000

  Mean value of noise = 0.011168
  STD of noise        = 0.577169
  Computation time    = 396.658178 seconds

cnoise_test03():
  Test f_alpha_uniform().
  Noise is generated from a Gaussian distribution
  with a specified variance.

  Number of realizations M = 10000
  Dimension of noise vector N = 10000
  Noise exponent ALPHA = 1.000000
  Range of the distribution = [-1.000000,1.000000]
  Scale factor SCALE = 1.000000

  Mean value of noise = -0.003880
  STD of noise        = 0.795265
  Computation time    = 383.219678 seconds

cnoise_test():
  Normal end of execution.

20-Jun-2024 09:04:01