Title:
Discretecosine-transform
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Description: Brain network signal discrete cosine classification. The so-called classification is a kind of pattern recognition. A data set in accordance with a specific standard (such as distance criterion) is divided into different classes or clusters, the same type of data classification as much as possible to come together, the different data as possible separation. The discrete cosine transform is orthogonal transform to data compression. The so-called data compression is actually through the loss of energy of the smaller high-frequency component to retain the low frequency components of higher energy to achieve the purpose of compression.
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Classificatio Of CranialNerveNetwork Signals Based On Discretecosine transform .doc
