REAL TIME IMPLEMENTATION OF DISCRETE WAVELET TRANSFORM

This paper considers possibilities of wavelet decomposition (filtering) and reconstruction (approximation) implementation for a local signal in real time by using method of sliding discrete wavelet transform. The necessary volumes of computational operations for various implementations of algorithm analysis are determined using the example of the discrete wavelet transformation of Daubechie 14. It is shown that the cascade algorithm of sliding wavelet analysis has minimal computational costs and consequently provides the highest frequency range for analyzing characteristics of the local signal.

Authors: V. V. Alekseev, V. S. Konovalova, I. V. Kaliakin

Direction: Metrology and Metrologycal Assurance

Keywords: Discrete wavelet transform, computational complexity, local signal characteristics, cascade algorithm

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