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
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