Traditional filtering techniques such as Moving-mean (Mm), Savitzky-Golay Filtering (SGF), Fast-Fourier Transform (FFT), etc., fail because the smoothing processes may be responsible for the actual data loss due to the dependence on the average number of points, order of the signal, frame width, noise interference with the signal of similar frequency, or the signal is aperiodic.