Remove unwanted spikes, trends, and outliers from a signal. Smooth signals using Savitzky-Golay filters, moving averages, moving medians, linear regression, or quadratic regression.
| Signal Analyzer | Visualize and compare multiple signals and spectra |
detrend | Remove polynomial trend |
filloutliers | Detect and replace outliers in data |
hampel | Outlier removal using Hampel identifier |
isoutlier | Find outliers in data |
medfilt1 | 1-D median filtering |
movmad | Moving median absolute deviation |
movmedian | Moving median |
sgolay | Savitzky-Golay filter design |
sgolayfilt | Savitzky-Golay filtering |
smoothdata | Smooth noisy data |
Discover important patterns in your data while leaving out noise, outliers, and other irrelevant information.
Take out irrelevant overall patterns that impede data analysis.
Remove the 60 Hz Hum from a Signal
Filter out 60 Hz oscillations that often corrupt measurements.
Use median filtering to eliminate unwanted transients from data.
Reconstruct a Signal from Irregularly Sampled Data
Resample and interpolate data measured at irregular intervals.
Eliminate Outliers Using Hampel Identifier
Detect and remove outliers using a simplified implementation of the Hampel algorithm.