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Application of wavelet transform to bifuraation and chaos study

✍ Scribed by Zheng Jibing; Gao Hangshan; Guo Yinchao


Publisher
Springer
Year
1998
Tongue
English
Weight
320 KB
Volume
19
Category
Article
ISSN
0253-4827

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Images and spectra contain a large amount of data. Therefore the question arises, how this data can be decreased or compressed without losing important detail. The discrete wavelet transform is a tool which can be used to compress data because of its good approximation properties. It is very easy to