DocumentCode :
3582914
Title :
Another general analytic construction for wavelet lowpassed filters
Author :
Xinshuo Li ; Jianping Li ; Yuanyan Tang
Author_Institution :
Coll. of Autom., Chongqing Univ., Chongqing, China
fYear :
2014
Firstpage :
487
Lastpage :
490
Abstract :
The orthogonal wavelet lowpassed filters coefficients with arbitrary length are constructed in this paper. When N=2k and N= 2k-1, the general analytic constructions of orthogonal wavelet filters are put forward, respectively. The famous Daubechies filter and many other wavelet filters are tested by the proposed novel method, which is very useful for wavelet theory research and many applications areas such as pattern recognition.
Keywords :
low-pass filters; wavelet transforms; Daubechies filter; arbitrary length; general analytic construction; orthogonal wavelet low-passed filters; wavelet theory; Algorithm design and analysis; Computer science; Filtering theory; Signal processing algorithms; Vectors; Wavelet analysis; Wavelet transforms; Daubechies filter; Lowpassed filters coefficients; wavelet filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2014 11th International Computer Conference on
Print_ISBN :
978-1-4799-7207-4
Type :
conf
DOI :
10.1109/ICCWAMTIP.2014.7073456
Filename :
7073456
Link To Document :
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