METHOD AND SYSTEM FOR TREND DETECTION AND ANALYSIS

摘要

A method and a system for removing very low frequency noise from a time-based data set. The method comprises smoothing the data set to diminish an effect of extraneous data points and obtain smoothed data. The smoothing includes using a Fast Fourier Transform (FFT) algorithm to transfer the time-based data set into a frequency-based data set, attenuating low frequencies of the frequency-based data set; and using an inverse Fourier Transform algorithm to transfer the attenuated frequency-based data set into an attenuated time-based data set.