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- % K = KURT2(MTX,MEAN,VAR)
- %
- % Sample kurtosis (fourth moment divided by squared variance)
- % of a matrix. Kurtosis of a Gaussian distribution is 3.
- % MEAN (optional) and VAR (optional) make the computation faster.
- % Eero Simoncelli, 6/96.
- function res = kurt2(mtx, mn, v)
- if (exist('mn') ~= 1)
- mn = mean(mean(mtx));
- end
- if (exist('v') ~= 1)
- v = var2(mtx,mn);
- end
- if (isreal(mtx))
- res = mean(mean(abs(mtx-mn).^4)) / (v^2);
- else
- res = mean(mean(real(mtx-mn).^4)) / (real(v)^2) + ...
- i*mean(mean(imag(mtx-mn).^4)) / (imag(v)^2);
- end
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