Level-crossing analog-to-digital converters (LC ADCs) have been considered in the literature and have been shown to efficiently sample certain classes of signals. One important aspect of their implementation is the placement of reference levels in the converter. The levels need to be appropriately located within the input dynamic range, in order to obtain samples efficiently. In this paper, we study optimization of the performance of such an LC ADC by providing several sequential algorithms that adaptively update the ADC reference levels. The accompanying performance analysis and simulation results show that as the signal length grows, the performance of the sequential algorithms asymptotically approaches that of the best choice that could only have been chosen in hindsight within a family of possible schemes.
Level-crossing analog-to-digital converters (LC ADC) have been studied in the literature and have been shown to efficiently sample certain classes of signals. In this paper we first characterize a class of bursty source signals. We then provide an information theoretical formulation that studies the application of LC ADC in data transmission in conjunction with compression. It is shown that compared to uniform sampling, LC sampling enables the same amount of information to be transmitted at substantially lower rate.Index Terms-non-uniform sampling, level-crossing, compression, and bursty signal space.
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