pink_noise
    
    
    
      pink_noise,
      a Python code which
      can generate random values taken from an approximate pink noise signal
      obeying a 1/f power law.
    
    
      Licensing:
    
    
      The information on this web page is distributed under the MIT license.
    
    
      Languages:
    
    
      pink_noise is available in
      a C version and
      a C++ version and
      a Fortran90 version and
      a MATLAB version and
      an Octave version and
      a Python version.
    
    
      Related Data and Programs:
    
    
      
      colored_noise, 
      a Python code which
      generates samples of noise obeying a 1/f^alpha power law.
    
    
      
      normal,
      a Python code which
      computes elements of a sequence of pseudorandom normally distributed values.
    
    
      
      uniform,
      a Python code which 
      computes elements of a uniform pseudorandom sequence.
    
    
      Reference:
    
    
      
        - 
          Martin Gardner,
          White and brown music, fractal curves and one-over-f fluctuations,
          Scientific American,
          Volume 238, Number 4, April 1978, pages 16-32.
         
        - 
          Jeremy Kasdin,
          Discrete Simulation of Colored Noise and Stochastic Processes
          and 1/f^a Power Law Noise Generation,
          Proceedings of the IEEE,
          Volume 83, Number 5, 1995, pages 802-827.
         
        - 
          Edoardo Milotti,
          1/f noise: a pedagogical review,
          arXiv:physics/0204033.
         
        - 
          Sophocles Orfanidis,
          Introduction to Signal Processing,
          Prentice-Hall, 1995,
          ISBN: 0-13-209172-0,
          LC: TK5102.5.O246.
         
        - 
          William Press,
          Flicker Noises in Astronomy and Elsewhere,
          Comments on Astrophysics,
          Volume 7, Number 4, 1978, pages 103-119.
         
        - 
          Miroslav Stoyanov, Max Gunzburger, John Burkardt,
          Pink Noise, 1/f^alpha Noise, and Their Effect on Solutions
          of Differential Equations,
          International Journal for Uncertainty Quantification,
          Volume 1, Number 3, pages 257-278, 2011.
         
      
    
    
      Source Code:
    
    
      
    
    
    
      Last revised on 19 August 2017.