We show how polynomial acceleration techniques which have been develop
ed for the solution of large linear systems can be employed to improve
and accelerate the frame algorithm. These methods permit a reduction
in the number of necessary iterations by an order of magnitude when th
e frame algorithm is slow. We give several examples from the theory of
irregular sampling, from wavelet theory and from Gabor theory where t
hese methods are probably mandatory for efficient reconstruction.