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