What Kind of Features Can I Extract from a Signal

1. What features can be extracted from a signal?
2. What are the features extracted from an EEG signals?
3. How to extract features from a signal in Matlab?

What features can be extracted from a signal?

In Signal Labeler, you can extract features from all members of a labeled signal set including mean, standard deviation, peak, signal-to-noise ratio, mean frequency, band power, and occupied bandwidth.

What are the features extracted from an EEG signals?

The simplest features of the EEG signal are statistical features, like mean, median, variance, standard deviation, skewness, kurtosis, and similar [50].

How to extract features from a signal in Matlab?

Extract Features from Signal

Create a signalFrequencyFeatureExtractor object to obtain the mean and median frequencies from the signal. Specify the sample rate. sFE = signalFrequencyFeatureExtractor(SampleRate=fs,MeanFrequency=true,MedianFrequency=true); Extract the features.