基于非均匀采样的ADC结构,采用自适应平交技术

V. M. Silva, A. A. L. Souza, S. Catunda, R. Freire
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引用次数: 5

摘要

本文提出了一种采用自适应平交技术的非均匀采样模数转换器(ADC)结构。该架构可以通过三个参数动态配置,允许用户将ADC与要采集的信号或应用约束相匹配。当应用于稀疏信号时,这种结构优于均匀采样结构。在心电图(ECG)信号的情况下,当考虑均匀采样的相同数量的样本时,我们的架构显示出高达10 dB的信噪比(SNR)增益。当考虑相同的信噪比时,我们的架构允许降低超过50%。该体系结构采用FPGA和通用器件实现,响应时间约为200 μs,在集成实现中可进一步缩短响应时间。
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Non-uniform sampling based ADC architecture using an adaptive level-crossing technique
This paper presents a non-uniform sampling analog-to-digital converter (ADC) architecture using an adaptive level-crossing technique. The architecture can be dynamically configured through three parameters that allow the user to match the ADC to the signal to be acquired or to application constraints. When applied to sparse signals, this architecture outperforms uniform sampling architectures. In the case of an Electrocardiogram (ECG) signal, our architecture showed gains of up to 10 dB of signal to noise ratio (SNR) when considering the same number of samples of uniform sampling. When the same SNR is considered, our architecture allows reductions in excess of 50%. The architecture was implemented with FPGA and general purpose components, and showed a response time of about 200 μs, which could be further reduced in an integrated implementation.
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