Please use this identifier to cite or link to this item: https://doi.org/10.1109/78.215299
Title: Design of weighted minimax quadrature mirror filters
Authors: Lim, Y.C. 
Yang, Rong Huan 
Koh, S-N.
Issue Date: May-1993
Source: Lim, Y.C., Yang, Rong Huan, Koh, S-N. (1993-05). Design of weighted minimax quadrature mirror filters. IEEE Transactions on Signal Processing 41 (5) : 1780-1789. ScholarBank@NUS Repository. https://doi.org/10.1109/78.215299
Abstract: Quadrature mirror filters have been used extensively for splitting speech signals into subbands which result in no aliasing problem when the subband signals are decimated and then interpolated and recombined. In this paper, we introduce a novel and efficient optimization method for the design of quadrature mirror filters optimum in the weighted least squares sense. By a suitable choice of the least squares weighting function, the weighted minimax quadrature mirror filter is produced. The minimax tolerance weighting function can be arbitrarily defined.
Source Title: IEEE Transactions on Signal Processing
URI: http://scholarbank.nus.edu.sg/handle/10635/62022
ISSN: 1053587X
DOI: 10.1109/78.215299
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