  It is well known the sample covariance has a consistent bias in the spectrum,
for example spectrum of Wishart matrix follows the Marchenko-Pastur law. We in
this work introduce an iterative algorithm 'Concent' that actively eliminate
this bias and recover the true spectrum for small and moderate dimensions.
