2005Unpublished venueRequires access

Sub-Nyquist nonuniform sampling and perfect reconstruction of signals

Heyoung Lee, Zeungnam Bien

Open publisher page 4 citations

Abstract

The sub-Nyquist nonuniform sampling (SNNS) scheme and the corresponding perfect reconstruction formula are addressed. Also, a condition to enable the perfect reconstruction of the continuous-time signal from its nonuniform samples is derived. The average sampling rate of the proposed SNNS method is less than or equal to the sampling rate of the Nyquist uniform sampling method.

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What this paper is about

The sub-Nyquist nonuniform sampling (SNNS) scheme and the corresponding perfect reconstruction formula are addressed. Also, a condition to enable the perfect reconstruction of the continuous-time signal from its nonuniform samples is derived. The average sampling rate of the proposed SNNS method is less than or equal to the sampling rate of the Nyquist uniform sampling method.

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Available abstract

The sub-Nyquist nonuniform sampling (SNNS) scheme and the corresponding perfect reconstruction formula are addressed. Also, a condition to enable the perfect reconstruction of the continuous-time signal from its nonuniform samples is derived. The average sampling rate of the proposed SNNS method is less than or equal to the sampling rate of the Nyquist uniform sampling method.

Key concepts: Nyquist–Shannon sampling theorem, Nyquist rate, Sampling (signal processing), Nonuniform sampling, Signal reconstruction, Algorithm, Computer science, SIGNAL (programming language)

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