access icon free Non-uniform sampling based on an adaptive level-crossing scheme

Level-crossing (LC) analog-to-digital (A/D) converters can efficiently sample certain classes of signals. An LC A/D converter is a real-time asynchronous system, which encodes the information of an analog signal into a sequence of non-uniformly spaced time instants. In particular, this class of A/D converters uses an asynchronous data conversion approach, which is a power efficient technique. In this study, the authors propose adaptive and multi-level adaptive LC sampling models as alternatives to conventional LC schemes and apply an iterative algorithm to improve the reconstruction quality of LC A/D converters. This simulation results show that multi-level adaptive LC outperforms conventional A/D converters such as sigma-delta A/D converters in terms of performance and computational complexity.

Inspec keywords: signal sampling; signal reconstruction; adaptive signal processing; iterative methods; analogue-digital conversion; data conversion

Other keywords: nonuniform sampling; adaptive level-crossing scheme; power efficient technique; asynchronous data conversion approach; level-crossing analog-to-digital converters; multilevel adaptive LC sampling models; iterative algorithm; sigma-delta A/D converters; LC A/D converter reconstruction quality; nonuniformly spaced time instant sequence; computational complexity; adaptive LC sampling models; analog signal information; real-time asynchronous system

Subjects: A/D and D/A convertors; Interpolation and function approximation (numerical analysis); Interpolation and function approximation (numerical analysis); Signal processing and detection; Digital signal processing; A/D and D/A convertors

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