Averaging of nonlinearly aligned signal cycles for noise suppression

Denoising Small Signals Using Averaging Methods in Arduino

“…Hence, MA is also a filter as it removes low-frequency drift that happens in the input data or signal. The low-frequency drift is effectively removed by subtracting the output of the MA filter from the original filter [4] [5]. Simple Moving Average (SMA) is a common average of the previous n data points in time series data.…”

“…Averaging is a substantial method of denoising the noise of quasi-periodical or event-related signal [11]. Outliers such as spike artifacts or bursts of noise in the signal affect the analysis [12].…”

“…The definition of the acquired EEG signal being a summation of the EEG signal and the spontaneous activities of the brain contributes to the still widely used method of denoising EEG. The process normally takes place at the post-processing stage offline [4] since averaging requires a set of initial data before the method can be carried out. Here it is described of how the averaging technique is implemented in the real-time acquisition of the EEG signal.…”

“…The applications of analysis in biomedical signals, such as EEG and electrocardiograms (ECG) usually practice the averaging method[4] [15].…”