Skip to Main Content
In this paper is described a data compression technique based on wavelet decomposition and spline interpolation for power quality disturbance. The technique consist in signal decomposition, thresholding of wavelet transform coefficients, decimation of the last coefficient and signal reconstruction using spline interpolation for the last coefficient. The optimal order of Daubechies scaling function recommended in order to achieve the best compression ratio and comparative compression results using different types of power quality disturbances are also presented. This technique is suitable mainly for data acquired at high sample rates.