To tackle the sign problem in the simulations of systems having indefi
nite or complex-valued measures, we propose a new approach which yield
s statistical errors smaller than the crude Monte Carlo using absolute
values of the original measures. The 1D complex-coupling Ising model
is employed as an illustration.