  Extraction of the CMB (Cosmic Microwave Background) angular power spectrum is
a challenging task for current and future CMB experiments due to the large data
sets involved. Here we describe an implementation of MASTER (Monte carlo
Apodised Spherical Transform EstimatoR) which exploits the destriping technique
as a map-making method. In this method a noise estimate based on destriped
noise-only MC (Monte Carlo) simulations is subtracted from the pseudo angular
power spectrum. As a working case we use realistic simulations of the PLANCK
LFI (Low Frequency Instrument). We found that the effect of destriping on a
pure sky signal is minimal and requires no correction. Instead we found an
effect related to the distribution of detector pointings, which affects the
high multipole part of the power spectrum. We correct for this by subtracting a
``signal bias'' estimated by MC simulations. We also give analytical estimates
for this signal bias. Our method is fast and accurate enough (the estimator is
un-biased and errors are close to theoretical expectations for maximal
accuracy) to estimate the CMB angular power spectra for current and future CMB
space missions. This study is related to PLANCK LFI activities.
