  In this note we consider the {\it spectral truncation} as the regularization
for an ill-posed non-homogeneous parabolic final value problem, and obtain
error estimates under a genral source condition when the data, which consist of
the non-homogeneous term as well as the final value, are noisy. The resulting
error estimate is compared with the corresponding estimate under the
Lavrentieve method, and showed that the truncation method has no index of
saturation.
