IEICE TRANSACTIONS on Fundamentals
Adaptive Analog-to-Information Converter Design with Limited Random Sequence Modulation
Summary :
Compressive sensing enables quite lower sampling rate compared with Nyquist sampling. As long as the signal is sparsity in some basis, the random sampling with CS can be employed. In order to make CS applied in the practice, the Analog to Information Converter (AIC) should be involved. Based on the Limited Random Sequence (LRS) modulation, the AIC with LRS can be designed with high performance according to the fixed sparsity. However, if the sparsity of the signal varies with time, the original AIC with LRS is not efficient. In this paper, the adaptive AIC which adapts its scheme of LRS according to the variation of the sparsity is proposed and the prototype system is designed. Due to the adaption of the AIC with the scheme of LRS, the sampling rate can be further reduced. The simulation results confirm the performance of the proposed adaptive AIC scheme. The prototype system can successfully fulfil the random sampling and adapt to the variation of sparsity, which verify and consolidate the validity and feasibility for the future implementation of adaptive AIC on chip.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E96-A No.2 pp.469-476
- Publication Date
- 2013/02/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E96.A.469
- Type of Manuscript
- Special Section PAPER (Special Section on Analog Circuit Techniques and Related Topics)
- Category
Authors
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Chao ZHANG, Jialuo XIAO, "Adaptive Analog-to-Information Converter Design with Limited Random Sequence Modulation" in IEICE TRANSACTIONS on Fundamentals,
vol. E96-A, no. 2, pp. 469-476, February 2013, doi: 10.1587/transfun.E96.A.469.
Abstract: Compressive sensing enables quite lower sampling rate compared with Nyquist sampling. As long as the signal is sparsity in some basis, the random sampling with CS can be employed. In order to make CS applied in the practice, the Analog to Information Converter (AIC) should be involved. Based on the Limited Random Sequence (LRS) modulation, the AIC with LRS can be designed with high performance according to the fixed sparsity. However, if the sparsity of the signal varies with time, the original AIC with LRS is not efficient. In this paper, the adaptive AIC which adapts its scheme of LRS according to the variation of the sparsity is proposed and the prototype system is designed. Due to the adaption of the AIC with the scheme of LRS, the sampling rate can be further reduced. The simulation results confirm the performance of the proposed adaptive AIC scheme. The prototype system can successfully fulfil the random sampling and adapt to the variation of sparsity, which verify and consolidate the validity and feasibility for the future implementation of adaptive AIC on chip.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E96.A.469/_p
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@ARTICLE{e96-a_2_469,
author={Chao ZHANG, Jialuo XIAO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Adaptive Analog-to-Information Converter Design with Limited Random Sequence Modulation},
year={2013},
volume={E96-A},
number={2},
pages={469-476},
abstract={Compressive sensing enables quite lower sampling rate compared with Nyquist sampling. As long as the signal is sparsity in some basis, the random sampling with CS can be employed. In order to make CS applied in the practice, the Analog to Information Converter (AIC) should be involved. Based on the Limited Random Sequence (LRS) modulation, the AIC with LRS can be designed with high performance according to the fixed sparsity. However, if the sparsity of the signal varies with time, the original AIC with LRS is not efficient. In this paper, the adaptive AIC which adapts its scheme of LRS according to the variation of the sparsity is proposed and the prototype system is designed. Due to the adaption of the AIC with the scheme of LRS, the sampling rate can be further reduced. The simulation results confirm the performance of the proposed adaptive AIC scheme. The prototype system can successfully fulfil the random sampling and adapt to the variation of sparsity, which verify and consolidate the validity and feasibility for the future implementation of adaptive AIC on chip.},
keywords={},
doi={10.1587/transfun.E96.A.469},
ISSN={1745-1337},
month={February},}
Copy
TY - JOUR
TI - Adaptive Analog-to-Information Converter Design with Limited Random Sequence Modulation
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 469
EP - 476
AU - Chao ZHANG
AU - Jialuo XIAO
PY - 2013
DO - 10.1587/transfun.E96.A.469
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E96-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 2013
AB - Compressive sensing enables quite lower sampling rate compared with Nyquist sampling. As long as the signal is sparsity in some basis, the random sampling with CS can be employed. In order to make CS applied in the practice, the Analog to Information Converter (AIC) should be involved. Based on the Limited Random Sequence (LRS) modulation, the AIC with LRS can be designed with high performance according to the fixed sparsity. However, if the sparsity of the signal varies with time, the original AIC with LRS is not efficient. In this paper, the adaptive AIC which adapts its scheme of LRS according to the variation of the sparsity is proposed and the prototype system is designed. Due to the adaption of the AIC with the scheme of LRS, the sampling rate can be further reduced. The simulation results confirm the performance of the proposed adaptive AIC scheme. The prototype system can successfully fulfil the random sampling and adapt to the variation of sparsity, which verify and consolidate the validity and feasibility for the future implementation of adaptive AIC on chip.
ER -
English
