DocumentCode :
3687087
Title :
Design of multi-channel filter bank using ABC optimized fractional derivative constraints
Author :
Kuldeep Baderia;Anil Kumar;Girish Kumar Singh
Author_Institution :
Department of Electronics and communication Engineering, Indian Institute of Information Technology Design and Manufacturing, Jabalpur-482005, MP (India)
fYear :
2015
fDate :
4/1/2015 12:00:00 AM
Firstpage :
490
Lastpage :
494
Abstract :
This paper presents an optimized algorithm for the design of M-Channel cosine modulated (CM) quadrature mirror filter (QMF) bank. For this purpose, objective function is formulated in term of polyphse components of the prototype filter of filter bank subjecting optimized fractional derivative constraint using artificial bee colony (ABC) algorithm. Polyphase component is optimized by minimizing the objective function, which is formulated as sum of mean square error of passband error and stopband error. Fractional derivative constraints are optimized using peak reconstruction error as an objective function. The proposed method is examined by several performance parameters of QMF bank which show superiority of proposed method.
Keywords :
"Filtering algorithms","Linear programming","Algorithm design and analysis","DH-HEMTs","Prototypes","Indexes","Electronic mail"
Publisher :
ieee
Conference_Titel :
Communications and Signal Processing (ICCSP), 2015 International Conference on
Type :
conf
DOI :
10.1109/ICCSP.2015.7322432
Filename :
7322432
Link To Document :
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