Search

Based on the development history of wavelet transformation’s applications in data compression, this paper studies thee wavelets’ property of being continuous and discrete, establishes a power quality data compression model of wavelet transformation, discusses the threshold coefficient compression algorithm after the wavelet transformation, and makes an improvement with the low-frequency, high-frequency and self-adaptive power quality of the threshold compression algorithm. In the end, this paper verifies through a simulation experiment that the algorithm is adaptable to the compression of power quality data and signals are able to maintain a relatively low distortion.