Remove unwanted spikes, trends, and outliers from a signal. Smooth signals using Savitzky-Golay filters, moving averages, moving medians, linear regression, or quadratic regression.
|Remove polynomial trend|
|Detect and replace outliers in data|
|Outlier removal using Hampel identifier|
|Find outliers in data|
|1-D median filtering|
|Moving median absolute deviation|
|Savitzky-Golay filter design|
|Smooth noisy data|
|Signal Analyzer||Visualize and compare multiple signals and spectra|
Discover important patterns in your data while leaving out noise, outliers, and other irrelevant information.
Take out irrelevant overall patterns that impede data analysis.
Filter out 60 Hz oscillations that often corrupt measurements.
Use median filtering to eliminate unwanted transients from data.
Resample and interpolate data measured at irregular intervals.
Detect and remove outliers using a simplified implementation of the Hampel algorithm.