DocumentCode :
2223573
Title :
Variable digital filter design with least square criterion subject to peak gain constraints
Author :
Hai Huyen Dam ; Cantoni, Antonio ; Kok Lay Teo ; Nordholm, Sven
Author_Institution :
Western Australian Telecommun. Res. Inst., Curtin Univ. of Technol., Crawley, WA, Australia
fYear :
2006
fDate :
4-8 Sept. 2006
Firstpage :
1
Lastpage :
4
Abstract :
Variable digital filters (VDFs) are useful for various signal processing and communication applications where the frequency characteristics, such as fractional delays and cutoff frequencies, can be varied online. In this paper, we present a formulation that allows the trade-off between the integral squared error and the maximum deviation from the desired response in the passband and stopband. With this formulation, the maximum deviation can be reduced below the least square solution with a slight change in the performance of the integral squared error. Similarly, the total square error can be reduced below the minmax solution with a minor change in the maximum deviation from the minmax solution. Numerical schemes with adaptive grid size are presented for solving the optimization problems.
Keywords :
digital filters; least mean squares methods; minimax techniques; adaptive grid size; integral squared error; least square criterion; minmax solution; peak gain constraints; total square error; variable digital filter design; Abstracts; Receivers; Speech; Tuning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2006 14th European
Conference_Location :
Florence
ISSN :
2219-5491
Type :
conf
Filename :
7071562
Link To Document :
بازگشت