In this paper, an adaptive method for sampling and reconstructing high-dimensional shift-invariant signals is proposed. First, the integrate-and-fire sampling scheme and an approximate reconstruction algorithm for one-dimensional bandlimited signals are generalized to shift-invariant signals. Then, a high-dimensional shift-invariant signal is reduced to be a sequence of one-dimensional shift-invariant signals along the trajectories parallel to some coordinate axis, which can be approximately reconstructed by the generalized integrate-and-fire sampling scheme. Finally, an approximate reconstruction for the high-dimensional shift-invariant signal is obtained by solving a series of stable linear systems of equations. The main result shows that the final reconstructed error is completely determined by the initial threshold in integrate-and-fire sampling scheme, which is generally very small. [4529][4530][4531][4532][4533][4534][4535][4536][4537] f .x/e˛. x t/ dxj < Â, 8 t Ä t 0 .Step 2: Suppose t 0 , t 1 , : : : , t j have been produced. If jF j .t/j <  for all t t j , the process stops; if jF j .t/j  for some t > t j , then define t jC1 as the minimal number satisfying jF j .t