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http://bura.brunel.ac.uk/handle/2438/27909| Title: | Towards Optimized Multi-Channel Modulo-Adcs: Moduli Selection Strategies And Bit Depth Analysis |
| Authors: | Yan, W Gan, L Hu, S Lui, H |
| Keywords: | analog-to-digital converters (ADC);modulo samplers;Chinese remainder theorem (CRT) |
| Issue Date: | 18-Mar-2024 |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Citation: | Yan, W.. et al. (2024) 'Towards Optimized Multi-Channel Modulo-Adcs: Moduli Selection Strategies And Bit Depth Analysis', ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, South Korea, 14-19 April, pp. 9496 - 9500. doi: 10.1109/ICASSP48485.2024.10448478. |
| Abstract: | This paper presents a theoretical analysis of multi-channel modulo analog-to-digital converters (ADCs) for high-dynamic range sampling under bounded noise. In particular, we derive the maximum error tolerance in terms of ADC dynamic range, signal dynamic range, and channel number. Additionally, we present closed-form expressions for ADC thresholds, ensuring near-optimal error resilience, and analyzing the minimal bit-depth needed for stable recovery. Compared to single-channel modulo ADCs, our approach achieves superior error tolerance with reduced sampling rates. Moreover, it demands a minor bit rate increase compared to conventional ADCs but operates with a significantly smaller ADC dynamic range. |
| URI: | https://bura.brunel.ac.uk/handle/2438/27909 |
| DOI: | https://doi.org/10.1109/ICASSP48485.2024.10448478 |
| ISSN: | 1520-6149 |
| Other Identifiers: | ORCiD: Lu Gan https://orcid.org/0000-0003-1056-7660 ORCiD: Shaoqing Hu https://orcid.org/0000-0001-8642-2914 |
| Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
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