Bias compensation methods for minimum statistics noise power spectral density estimation

摘要

The Minimum Statistics noise power spectral density (psd) estimation approach is based on tracking minima of a short term power spectral density (psd) estimate in frequency subbands. Since the short term minimum power is always smaller than (or in trivial cases equal to) the mean power, the minimum noise power estimate is a biased estimate of the mean power. For an accurate noise power estimate this bias must be compensated.