2006Unpublished venueRequires access

Periodic Non Uniform Sampling of Non Bandlimited Signals

Jamal Tuqan

Open publisher page 3 citations

Abstract

We consider the periodic non uniform sampling of a class of continuous time non bandlimited signals. Unlike previous work, the periodic non uniform sequence is obtained by retaining a select group of samples from a larger set generated by oversampling the continuous time signal. The oversampled sequence is modeled as the output of a discrete time multirate interpolation filter. Using this model, we propose a number of ways to retrieve the signal and derive necessary and sufficient conditions for signal reconstruction with FIR digital filters. The use of FIR filtering insures the stability of the reconstruction process

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What this paper is about

We consider the periodic non uniform sampling of a class of continuous time non bandlimited signals. Unlike previous work, the periodic non uniform sequence is obtained by retaining a select group of samples from a larger set generated by oversampling the continuous time signal. The oversampled sequence is modeled as the output of a discrete time multirate interpolation filter. Using this model, we propose a number of ways to retrieve the signal and derive necessary and sufficient conditions for signal reconstruction with FIR digital filters. The use of FIR filtering insures the stability of the reconstruction process

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Available abstract

We consider the periodic non uniform sampling of a class of continuous time non bandlimited signals. Unlike previous work, the periodic non uniform sequence is obtained by retaining a select group of samples from a larger set generated by oversampling the continuous time signal. The oversampled sequence is modeled as the output of a discrete time multirate interpolation filter. Using this model, we propose a number of ways to retrieve the signal and derive necessary and sufficient conditions for signal reconstruction with FIR digital filters. The use of FIR filtering insures the stability of the reconstruction process

Key concepts: Bandlimiting, Oversampling, Discrete-time signal, Sampling (signal processing), Sequence (biology), Nonuniform sampling, Finite impulse response, Interpolation (computer graphics)

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