Spectrum transformation of the restored signal with regular and irregular sampling | Zendy

Vitaliy Parubochyi | Zendy; Roman Shuwar | Zendy; Denis Afanassyev | Zendy

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Spectrum transformation of the restored signal with regular and irregular sampling

Author(s) -

Vitaliy Parubochyi,

Roman Shuwar,

Denis Afanassyev

Publication year - 2018

Publication title -

electronics and information technologies

Language(s) - English

Resource type - Journals

eISSN - 2224-0888

pISSN - 2224-087X

DOI - 10.30970/eli.9.78

Subject(s) - transformation (genetics) , signal (programming language) , sampling (signal processing) , spectrum (functional analysis) , mathematics , computer science , computer vision , physics , biology , filter (signal processing) , biochemistry , gene , programming language , quantum mechanics

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.

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