A. Shumeiko, V. Smorodskyi

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Abstract. The achieved discrete trigonometric transform allows building of adaptive filters to suit their area of application. By varying the phase shift can be achieved improved quality of source data recovery in case the frequency coefficients undergo distortion. This transformation is well manifested itself in the problem of image compression, showing better results than the discrete cosine transform.

Key words: discrete cosine transform, discrete Fourier transform, discrete trigonometric transform, signal, filter.

Discrete trigonometric transform and its usage in digital image processing

ECONTECHMOD
an international quarterly journal on economics of technology and modelling processes