PROJECT TITLE :

Incoherent Undersampling-Based Waveform Reconstruction Using a Time-Domain Zero-Crossing Metric

ABSTRACT:

Incoherent undersampling-primarily based waveform acquisition provides a low-price take a look at setup for characterizing high-speed systems. A periodic waveform reconstruction using incoherent undersampling remaps time indices of samples using the modulus of the suspected amount of the signal, effectively folding the signal into a time window equal to at least one period. The major price and accuracy limitations of the reconstruction technique arise from estimation of the waveform amount. Multiple cost functions have been proposed to estimate the period, including frequency domain metrics, that are computationally intensive. During this paper, we tend to propose a new time domain zero-crossing (ZC)-based metric, where the metric offers the number of ZC in the reconstructed waveform for an assumed amount of the waveform. The reconstruction technique is also extended to beyond the track-and-hold amplifier bandwidth using a novel take a look at setup combining the incoherent undersampling with multichannel bandwidth interleaving.


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