期刊名称：International Journal of Computer and Information Technology
印刷版ISSN：2279-0764
出版年度：2016
卷号：5
期号：4
页码：389-395
出版社：International Journal of Computer and Information Technology
摘要：This paper presents a supervised learning algorithm
that investigates how a computer program would discern the
similarities and differences between six kind of colored noise
sound signals. By preprocessing a set of known input noise
signals and extracting the features of each signal in time-domain
and frequency domain, the algorithm classifies the known input
dataset into corresponding known classes. Different methods are
used to verify the stability and accuracy of the predictions. In the
testing stage, new unknown dataset is given to the classifier to
predict the corresponding class of the input noise signal.
