SPECTRUM TRANSFORMATION OF THE RESTORED SIGNAL WITH REGULAR AND IRREGULAR SAMPLING

Vitalii Parubochyi, Roman Shuwar, Denys Afanassyev

Abstract


The paper deals with the spectrum transformation of the signal restored by regular and irregular sampling. Irregular sampling is studied as a method of obtaining the noise-like error spectrum of the error of a restored signal. Hence the order of the output low-pass filter can be reduced, or in certain cases, this filter can be omitted. The most interesting area of application for this method may be the reproduction of a digital bitmap image. To simplify the problem, the error spectrum transformation is studied for the one-dimension sampling case.

Keywords: randomization, oversampling, spectrum, low-pass filter, LPF, noise, Nyquist criterion


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DOI: http://dx.doi.org/10.30970/eli.9.78

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