def get_statistical_features(self, data):
p = PeakAnalysis(self.view)
min_value = np.amin(data)
max_value = np.amax(data)
root_mean_square = UMath.get_root_mean_square(data)
peaks_number = np.mean(len(p.get_peaks(data)))
crest_factor = np.median(p.get_peak_to_average_ratios(data))
skewness = stats.skew(data, False)
kurtosis = stats.kurtosis(data, False)
variance = np.var(data)
return [min_value, max_value, root_mean_square, peaks_number, crest_factor, skewness, kurtosis, variance]
def get_statistical_features(self, data):
p = PeakAnalysis(self.view)
min_value = np.amin(data)
max_value = np.amax(data)
root_mean_square = UMath.get_root_mean_square(data)
peaks_number = np.mean(len(p.get_peaks(data)))
crest_factor = np.median(p.get_peak_to_average_ratios(data))
skewness = stats.skew(data, False)
kurtosis = stats.kurtosis(data, False)
variance = np.var(data)
return [
min_value, max_value, root_mean_square, peaks_number, crest_factor,
skewness, kurtosis, variance
]
