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A study on nonlinear averagings to perform the characterization of power spectral density estimation algorithms.
Filippo Attivissimo
Mario Savino
Amerigo Trotta
Published in:
IEEE Trans. Instrum. Meas. (2000)
Keyphrases
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density estimation
density function
computational complexity
mixture model
kernel density estimation
learning algorithm
em algorithm
density estimators
mixture modeling
image segmentation
data analysis
multi class
probability density function
probability density