Signal Generation and Preprocessing

Create, resample, smooth, denoise, and detrend signals

Signal Processing Toolbox™ provides functions that let you denoise, smooth, and detrend signals to prepare them for further analysis. Remove noise, outliers, and spurious content from data. Enhance signals to visualize them and discover patterns. Change the sample rate of a signal or make the sample rate constant for irregularly sampled signals or signals with missing data. Generate synthetic signals such as pulses and chirps for simulation and algorithm testing.

Highlighted Topics

Categories

Smoothing and Denoising
Savitzky-Golay smoothing, median and Hampel filtering, detrending
Waveform Generation
Pulses, chirps, VCOs, sinc functions, periodic/aperiodic and modulated signals

Related Information

Multirate Signal Processing

Featured Examples

Remove Trends from Data

Remove Trends from Data

Take out irrelevant overall patterns that impede data analysis.

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Signal Smoothing

Signal Smoothing

Discover important patterns in your data while leaving out noise, outliers, and other irrelevant information.

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Process a Signal with Missing Samples

Process a Signal with Missing Samples

Signals often have missing samples. To provide estimates for these values, use resampling.

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Measure Signal Similarities

Measure Signal Similarities

Compare signals with different sample rates or frequency content, measure delays, and determine if there is a signal in a measurement.

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Resampling Uniformly Sampled Signals

Resampling Uniformly Sampled Signals

Resample a uniformly sampled signal to a new uniform rate; reduce the impact of large transients and remove unwanted high-frequency content.

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Resampling Nonuniformly Sampled Signals

Resampling Nonuniformly Sampled Signals

Resample a nonuniformly sampled signal to a new uniform rate; apply custom filters to reduce aliasing; remove edge transients.

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