Unlimited Sampling of Multiband Signals: Single-Channel Acquisition and Recovery
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866914126670856192 |
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| author | Shtendel, Gal Bhandari, Ayush |
| author_facet | Shtendel, Gal Bhandari, Ayush |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_27110 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Unlimited Sampling of Multiband Signals: Single-Channel Acquisition and Recovery Shtendel, Gal Bhandari, Ayush Signal Processing Information Theory 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. |
| title | Unlimited Sampling of Multiband Signals: Single-Channel Acquisition and Recovery |
| topic | Signal Processing Information Theory |
| url | https://arxiv.org/abs/2510.27110 |