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A feedforward (FF) network using ΔΣ modulators is investigated to implement a non-binary analog-to-digital (A/D) converter. Weighting coefficients in the network are determined to suppress the generation of quantization noise. A moving average is adopted to prevent the analog signal amplitude from increasing beyond the allowable input range of the modulators. The noise transfer function is derived and used to estimate the signal-to-noise ratio (SNR). The FF network output is a non-uniformly distributed multi-level signal, which results in a better SNR than a uniformly distributed one. Also, the effect of the characteristic mismatch in analog components on the SNR is analyzed. Our behavioral simulations show that the SNR is improved by more than 30 dB, or equivalently a bit resolution of 5 bits, compared with a conventional first-order ΔΣ modulator.

- Publication
- IEICE TRANSACTIONS on Information Vol.E104-D No.8 pp.1130-1137

- Publication Date
- 2021/08/01

- Publicized
- 2021/05/24

- Online ISSN
- 1745-1361

- DOI
- 10.1587/transinf.2020LOP0005

- Type of Manuscript
- Special Section PAPER (Special Section on Multiple-Valued Logic and VLSI Computing)

- Category
- Circuit Technologies

Takao WAHO

Sophia University

Tomoaki KOIZUMI

Sophia University

Hitoshi HAYASHI

Sophia University

The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.

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Takao WAHO, Tomoaki KOIZUMI, Hitoshi HAYASHI, "A ΔΣ-Modulation Feedforward Network for Non-Binary Analog-to-Digital Converters" in IEICE TRANSACTIONS on Information,
vol. E104-D, no. 8, pp. 1130-1137, August 2021, doi: 10.1587/transinf.2020LOP0005.

Abstract: A feedforward (FF) network using ΔΣ modulators is investigated to implement a non-binary analog-to-digital (A/D) converter. Weighting coefficients in the network are determined to suppress the generation of quantization noise. A moving average is adopted to prevent the analog signal amplitude from increasing beyond the allowable input range of the modulators. The noise transfer function is derived and used to estimate the signal-to-noise ratio (SNR). The FF network output is a non-uniformly distributed multi-level signal, which results in a better SNR than a uniformly distributed one. Also, the effect of the characteristic mismatch in analog components on the SNR is analyzed. Our behavioral simulations show that the SNR is improved by more than 30 dB, or equivalently a bit resolution of 5 bits, compared with a conventional first-order ΔΣ modulator.

URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2020LOP0005/_p

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@ARTICLE{e104-d_8_1130,

author={Takao WAHO, Tomoaki KOIZUMI, Hitoshi HAYASHI, },

journal={IEICE TRANSACTIONS on Information},

title={A ΔΣ-Modulation Feedforward Network for Non-Binary Analog-to-Digital Converters},

year={2021},

volume={E104-D},

number={8},

pages={1130-1137},

abstract={A feedforward (FF) network using ΔΣ modulators is investigated to implement a non-binary analog-to-digital (A/D) converter. Weighting coefficients in the network are determined to suppress the generation of quantization noise. A moving average is adopted to prevent the analog signal amplitude from increasing beyond the allowable input range of the modulators. The noise transfer function is derived and used to estimate the signal-to-noise ratio (SNR). The FF network output is a non-uniformly distributed multi-level signal, which results in a better SNR than a uniformly distributed one. Also, the effect of the characteristic mismatch in analog components on the SNR is analyzed. Our behavioral simulations show that the SNR is improved by more than 30 dB, or equivalently a bit resolution of 5 bits, compared with a conventional first-order ΔΣ modulator.},

keywords={},

doi={10.1587/transinf.2020LOP0005},

ISSN={1745-1361},

month={August},}

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TY - JOUR

TI - A ΔΣ-Modulation Feedforward Network for Non-Binary Analog-to-Digital Converters

T2 - IEICE TRANSACTIONS on Information

SP - 1130

EP - 1137

AU - Takao WAHO

AU - Tomoaki KOIZUMI

AU - Hitoshi HAYASHI

PY - 2021

DO - 10.1587/transinf.2020LOP0005

JO - IEICE TRANSACTIONS on Information

SN - 1745-1361

VL - E104-D

IS - 8

JA - IEICE TRANSACTIONS on Information

Y1 - August 2021

AB - A feedforward (FF) network using ΔΣ modulators is investigated to implement a non-binary analog-to-digital (A/D) converter. Weighting coefficients in the network are determined to suppress the generation of quantization noise. A moving average is adopted to prevent the analog signal amplitude from increasing beyond the allowable input range of the modulators. The noise transfer function is derived and used to estimate the signal-to-noise ratio (SNR). The FF network output is a non-uniformly distributed multi-level signal, which results in a better SNR than a uniformly distributed one. Also, the effect of the characteristic mismatch in analog components on the SNR is analyzed. Our behavioral simulations show that the SNR is improved by more than 30 dB, or equivalently a bit resolution of 5 bits, compared with a conventional first-order ΔΣ modulator.

ER -