In this letter, we present two normalized versions of Oja's algorithm (NOja
and NOOja), which can be used for the estimation of minor and principal su
bspaces of a vector sequence. The new algorithms offer, as compared to Oja,
a faster convergence, orthogonality, and a better numerical stability with
a slight increase in computational complexity.