Non-gaussianity refers to the property of a probability distribution that deviates from the normal (Gaussian) distribution. In contexts such as independent component analysis, non-gaussianity is critical because it helps distinguish between independent sources of signals amidst noise, allowing for better noise reduction and signal separation.
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