  Sampling shift-invariant (SI) signals with a high dynamic range poses a
notable challenge in the domain of analog-to-digital conversion (ADC). It is
essential for the ADC's dynamic range to exceed that of the incoming analog
signal to ensure no vital information is lost during the conversion process.
Modulo sampling, an approach initially explored with bandlimited (BL) signals,
offers a promising solution to overcome the constraints of dynamic range. In
this paper, we expand on the recent advancements in modulo sampling to
encompass a broader range of SI signals. Our proposed strategy incorporates
analog preprocessing, including the use of a mixer and a low-pass filter (LPF),
to transform the signal into a bandlimited one. This BL signal can be
accurately reconstructed from its modulo samples if sampled at slightly above
its Nyquist frequency. The recovery of the original SI signal from this BL
representation is then achieved through suitable filtering. We also examine the
efficacy of this system across various noise conditions. Careful choice of the
mixer plays a pivotal role in enhancing the method's reliability, especially
with generators prone to instability. Our approach thus broadens the framework
of modulo sampling's utility in efficiently recovering SI signals, pushing its
boundaries beyond BL signals while sampling only slightly above the rate needed
for a SI signal.
