Levigatura e rimozione del rumore
Rimuovi picchi, tendenze e valori anomali indesiderati da un segnale. Segnali uniformi mediante filtri Savitzky-Golay, medie mobili, mediane mobili, regressione lineare o regressione quadratica.
App
| Signal Analyzer | Visualize and compare multiple signals and spectra |
Funzioni
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 |
Argomenti
- Remove Trends from Data
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.
- Remove Spikes from a Signal
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.
Esempi in primo piano
Signal Smoothing
Discover important patterns in your data while leaving out noise, outliers, and other irrelevant information.
Design and Analyze Savitzky-Golay Filters
Design, analyze, and apply Savitzky-Golay smoothing and differentiation filters, include weighting and optimization for best smoothness.
