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Reconstruction of Periodic Band limited Signals from Non-uniform Samples

Journal: International Journal for Modern Trends in Science and Technology (IJMTST) (Vol.3, No. 7)

Publication Date:

Authors : ; ;

Page : 210-213

Keywords : IJMTST; ISSN:2455-3778;

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Digital Processing techniques are based on representing a continuous signal by a discrete set of samples. This process of reducing a continuous time signal to a discrete time signal is called sampling. There are a variety of applications in which the samples cannot be collected uniformly the data are known only on a nonuniformly spaced sampling set. In communication theory, when data from a uniformly sampled signal are lost, the result is generally a sequence of nonuniform samples. Nonuniform sampling is preferred over uniform sampling for sampling efficiency.The objective is to derive a closed-form algorithm (non-iterative) involving real-valued functions for reconstructing a periodic band limited signal from an even and an odd number of non-uniform samples. Non-uniform sampling comes natural in many applications, for example due to imperfect sensors, mismatched clocks or event-triggered phenomena. Applications can be found in automotive industry, mobile communication, medicine and astronomy.

Last modified: 2017-08-02 00:09:58