  In a growing number of applications, there is a need to digitize a (possibly
high) number of correlated signals whose spectral characteristics are
challenging for traditional analog-to-digital converters (ADCs). Examples,
among others, include multiple-input multiple-output systems where the ADCs
must acquire at once several signals at a very wide but sparsely and
dynamically occupied bandwidth supporting diverse services. In such scenarios,
the resolution requirements can be prohibitively high. As an alternative, the
recently proposed modulo-ADC architecture can in principle require dramatically
fewer bits in the conversion to obtain the target fidelity, but requires that
spatiotemporal information be known and explicitly taken into account by the
analog and digital processing in the converter, which is frequently
impractical. Building on our recent work, we address this limitation and
develop a blind version of the architecture that requires no such knowledge in
the converter. In particular, it features an automatic modulo-level adjustment
and a fully adaptive modulo-decoding mechanism, allowing it to asymptotically
match the characteristics of the unknown input signal. Simulation results
demonstrate the successful operation of the proposed algorithm.
