ONE-BIT UNLIMITED SAMPLING

被引:0
作者
Graf, Olga [1 ]
Bhandari, Ayush [2 ]
Krahmer, Felix [1 ]
机构
[1] Tech Univ Munich, Dept Math, Munich, Germany
[2] Imperial Coll London, Dept Elect & Elect Engn, London, England
来源
2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2019年
关键词
Analog-to-digital converters (ADC); sigma-delta; quantization; sampling theory; modulo samples; SIGMA-DELTA QUANTIZATION; FAMILY;
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Conventional analog to digital converters (ADCs) are limited in dynamic range. If a signal exceeds some prefixed threshold, the ADC saturates and the resulting signal is clipped, thus becoming prone to aliasing artifacts. Recent developments in ADC design allow to overcome this limitation: using modulo operation, the so called self reset ADCs fold amplitudes which exceed the dynamic range. A new (unlimited) sampling theory is currently being developed in the context of this novel class of ADCs. In this paper, we make a further step in this direction by coupling modulo sampling with one-bit EA quantization, or, in other words, consider one-bit unlimited sampling. We show that our scheme overcomes the dynamic range limitations of conventional one-bit quantizer, where no recovery guarantees are possible if the signal's dynamic range substantially exceeds the range of its one-bit output. We provide a constructive recovery algorithm for bandlimited signals from one-bit modulo samples complemented with a bound on the reconstruction error.
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收藏
页码:5102 / 5106
页数:5
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