Least Total Squared Error Design of 2-D MINIMAX FIR Filters

Author

Che, Aiwen ; Lai, Xiaoping

Author_Institution

Inst. of Inf. & control, Hangzhou Dianzi Univ., Hangzhou

Volume

2

fYear

2008

fDate

20-22 Oct. 2008

Firstpage

141

Lastpage

144

Abstract

The minimax design of 2-D (two-dimensional) FIR filters is not necessarily unique since the Haar condition is not generally satisfied. In order to obtain a unique solution, we introduce some additional constraints to the minimax design. This paper presents least total squared error design of 2-D minimax FIR filters which is always unique. This unique minimax solution can be obtained by using a quadratic programming with the primal-dual algorithm. Design examples and comparison with existing methods are provided to demonstrate the effectiveness and efficiency of the proposed method. The resulted filter is not only a minimax filter but also has least total squared error among minimax filters.

Keywords

FIR filters; quadratic programming; 2-D minimax FIR filters; Haar condition; least total squared error design; minimax design; quadratic programming; Algorithm design and analysis; Automatic control; Computer errors; Design automation; Error correction; Finite impulse response filter; Frequency response; Minimax techniques; Quadratic programming; Two dimensional displays; 2-D FIR Filter; minimax design; primal-dual algorithm; total squared error;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on

Conference_Location

Hunan

Print_ISBN

978-0-7695-3357-5

Type

conf

DOI

10.1109/ICICTA.2008.462

Filename

4659740