ASYNCHRONOUS SAMPLING AND RECONSTRUCTION OF SPARSE SIGNALS

被引：0
|
作者：
Can, Azime [1 ]
Sejdic, Ervin [1 ]
Chaparro, Luis [1 ]
机构：
[1] Univ Pittsburgh, Dept Elect & Comp Engn, Pittsburgh, PA 15261 USA
来源：
2012 PROCEEDINGS OF THE 20TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) | 2012年
关键词：
Continuous-time digital signal processing; time-encoding of signals; level-crossing sampling; asynchronous sigma delta modulators; asynchronous signal processing; TIME;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Asynchronous signal processing is an appropriate low-power approach for the processing of bursty signals typical in biomedical applications and sensing networks. Different from the synchronous processing, based on the Shannon-Nyquist sampling theory, asynchronous processing is free of aliasing constrains and quantization error, while allowing continuous-time processing. In this paper we connect level-crossing sampling with time-encoding using asynchronous sigma delta modulators, to develop an asynchronous decomposition procedure similar to the Haar transform wavelet decomposition. Our procedure provides a way to reconstruct bounded signals, not necessarily band-limited, from related zero-crossings, and it is especially applicable to decompose sparse signals in time and to denoise them. Actual and synthetic signals are used to illustrate the advantages of the decomposer.
引用
收藏
页码：854 / 858
页数：5
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