It is focused on the orthogonal M-band wavelet approximation power for
band-limited signals and on the quantitative analysis of the approxim
ation behavior of scaling filters and scaling function frequency respo
nse near zero. A sharp upper bound of the approximation errors in mult
iresolution subspaces is obtained for band-limited signals. With this
bound one may select better wavelet base and corresponding smaller sca
le factor to satisfy the given measure of the approximation error. Fin
ally, the experiments of 2-band Daubechies wavelet bases show that sig
nals with the normalized energy and bandwidth almost belong to V-2 spa
nned by D-8 with the satisfactory error measure.