Non-gaussianity refers to the statistical property of a random variable or signal that deviates from a Gaussian (normal) distribution. In many applications, especially in signal processing, recognizing non-gaussianity is crucial because it can indicate the presence of underlying independent sources and can provide insights into the characteristics of the data being analyzed.
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