DocumentCode :
3600977
Title :
Incoherent Undersampling-Based Waveform Reconstruction Using a Time-Domain Zero-Crossing Metric
Author :
Bhatta, Debesh ; Tzou, Nicholas ; Wells, Joshua W. ; Sen-Wen Hsiao ; Chatterjee, Abhijit
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Volume :
23
Issue :
11
fYear :
2015
Firstpage :
2357
Lastpage :
2370
Abstract :
Incoherent undersampling-based waveform acquisition provides a low-cost test setup for characterizing high-speed systems. A periodic waveform reconstruction using incoherent undersampling remaps time indices of samples using the modulus of the suspected period of the signal, effectively folding the signal into a time window equal to one period. The major cost and accuracy limitations of the reconstruction technique arise from estimation of the waveform period. Multiple cost functions have been proposed to estimate the period, including frequency domain metrics, which are computationally intensive. In this paper, we propose a new time domain zero-crossing (ZC)-based metric, where the metric gives the number of ZC in the reconstructed waveform for an assumed period of the waveform. The reconstruction technique is also extended to beyond the track-and-hold amplifier bandwidth using a novel test setup combining the incoherent undersampling with multichannel bandwidth interleaving.
Keywords :
signal reconstruction; signal sampling; ZC-based metric; cost functions; frequency domain metrics; incoherent undersampling-based waveform reconstruction; multichannel bandwidth interleaving; periodic waveform reconstruction; sample time indices remapping; time-domain zero-crossing metric; track-and-hold amplifier bandwidth; waveform period estimation; Accuracy; Bandwidth; Clocks; Estimation; Jitter; Noise; Frequency estimation; high-speed analog test; incoherent undersampling; signal acquisition; signal acquisition.;
fLanguage :
English
Journal_Title :
Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-8210
Type :
jour
DOI :
10.1109/TVLSI.2014.2369007
Filename :
6985654
Link To Document :
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