日本計算機統計学会大会論文集
Online ISSN : 2189-5848
Print ISSN : 2189-5821
ISSN-L : 2189-5821
会議情報
局所的特異性をもつデータのWAVELET解析について
枝村 勇一郎永井 武昭
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会議録・要旨集 フリー

p. 138-141

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抄録
Suppose that we have a great amount of segmental noisy signals, each of which has several sharp peaks as its important features to be measured. This sort of data are often treated in the biomedical data analysis for classification analysis, pattern recognition and biological rhythm analysis. The most important features of this type of data might be 1) heights, 2) locations and 3) shapes of peaks.
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© 1996 日本計算機統計学会
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