In this paper, we address the problem of reconstructing multiband signals from modulo-folded, pointwise samples within the Unlimited Sensing Framework (USF). Focusing on a low-complexity, single-channel acquisition setup, we establish recovery guarantees demonstrating that sub-Nyquist sampling is achievable under the USF paradigm. In doing so, we also tighten the previous sampling theorem for bandpass signals. Our recovery algorithm demonstrates up to a 13x dynamic range improvement in hardware experiments with up to 6 spectral bands. These results enable practical high-dynamic-range multiband acquisition in scenarios previously limited by dynamic range and excessive oversampling.

翻译：本文研究了在无限采样框架（USF）下，从模折叠点采样中重构多频带信号的问题。针对低复杂度单通道采集设置，我们建立了恢复保证，证明在USF范式下可实现亚奈奎斯特采样。在此过程中，我们还强化了先前关于带通信号的采样定理。我们的恢复算法在硬件实验中实现了高达13倍的动态范围提升，最多可处理6个频谱带。这些成果使得在以往受限于动态范围和过度采样的场景中，实现实用的高动态范围多频带采集成为可能。