Example #1
0
def run_mixed_sl0(y,M,Omega,epsilon):
  """
  Wrapper for SL0-mixed algorithm for approximate analysis recovery
  """ 
  sigma_min = 0.001
  sigma_decrease_factor = 0.5
  mu_0 = 2
  L = 10
  return ABSmixed.sl0(y,M,Omega,epsilon,sigma_min, sigma_decrease_factor, mu_0, L)
Example #2
0
def run_mixed_sl0(y, M, Omega, epsilon):
    """
  Wrapper for SL0-mixed algorithm for approximate analysis recovery
  """
    sigma_min = 0.001
    sigma_decrease_factor = 0.5
    mu_0 = 2
    L = 10
    return ABSmixed.sl0(y, M, Omega, epsilon, sigma_min, sigma_decrease_factor, mu_0, L)
Example #3
0
def run_mixed_bp(y, M, Omega, epsilon):
    """
  Wrapper for BP-mixed algorithm for approximate analysis recovery
  """
    return ABSmixed.bp(y, M, Omega, epsilon, numpy.zeros(Omega.shape[0]))
Example #4
0
def run_mixed_bp(y, M, Omega, epsilon):
    """
  Wrapper for BP-mixed algorithm for approximate analysis recovery
  """
    return ABSmixed.bp(y, M, Omega, epsilon, numpy.zeros(Omega.shape[0]))