Minimax design of two-channel low-delay perfect-reconstruction FIR filter banks
Author(s) -
Shih-Jen Yang,
J.-H. Lee,
Bin Chang Chieu
Publication year - 1999
Publication title -
iee proceedings - vision image and signal processing
Language(s) - English
Resource type - Journals
eISSN - 1359-7108
pISSN - 1350-245X
DOI - 10.1049/ip-vis:19990179
Subject(s) - minimax , finite impulse response , mathematics , filter (signal processing) , mathematical optimization , filter design , optimal design , scaling , algorithm , network synthesis filters , computer science , control theory (sociology) , electronic engineering , engineering , statistics , geometry , control (management) , artificial intelligence , computer vision
The authors deal with the design problem of low-delay perfect-reconstruction filter banks for which the FIR analysis and synthesis filters have equiripple magnitude response. Based on the minimax error criterion, the design problem is formulated in such a manner that the coefficients for the FIR analysis filters can be found by minimising the weighted peak error of the designed analysis filters, subject to the perfect-reconstruction constraints. A design technique based on a modified dual-affine scaling variant of Karmarkar's algorithm, in conjunction with approximation schemes, is then developed for solving the resulting nonlinear optimisation problem. The effectiveness of the proposed design technique is demonstrated by several simulation examples.
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