Digital filtering is a common approach to achieve simultaneous sampling of
several input signals acquired with a multiplexing delay. In this brief, an
error bound is obtained for Lagrange interpolation filters as a function o
f the oversampling ratio of the input signals, the fractional delay, and th
e filter's order. This bound can be used to ensure that the error is small
enough to maintain a desired resolution (number of significant bits), thus
leading to design equations for simultaneous sampling systems. For example,
using these equations, ne are able to find that an oversampling ratio of 7
1 is necessary to maintain a resolution of 12 bits with a first order Lagra
nge's filter, while a sixth-order filter is required when the oversampling
ratio is only five. The theoretical results are validated through simulatio
n, and the computational cost of the Lagrange's interpolator is compared wi
th a polyphase filter.