The design of two-channel perfect reconstruction FIR triplet wavelet filter banks using semidefinite programming | IEEE Conference Publication | IEEE Xplore

The design of two-channel perfect reconstruction FIR triplet wavelet filter banks using semidefinite programming


Abstract:

This paper proposes a new method for designing 2-channel PR linear-phase/low-delay FIR triplet wavelet filterbanks with user-defined cutoff frequency and prescribed numbe...Show More

Abstract:

This paper proposes a new method for designing 2-channel PR linear-phase/low-delay FIR triplet wavelet filterbanks with user-defined cutoff frequency and prescribed number of K-regularity. The magnitudes of the analysis/synthesis filters pair at /spl omega/ = /spl pi//2 can be set to any desired value controlled by a certain number of parameters using the triplet structure. The K-regularity conditions are expressed as a set of linear equality constraints in the variables to be optimized. The design method employs the minimax error criteria and solves the design problem as a semidefinite programming (SDP) optimization. By removing the redundant variables, the linear equality constraints are automatically imposed into the design problem. The optimization problem is then formulated as a linear convex objective function subject to a union of affine set, which can be represented by a set of linear matrix inequalities (LMI). Hence they can be solved using an existing SDP solver. Design examples are given to demonstrate the effectiveness of the proposed method.
Date of Conference: 25-28 May 2003
Date Added to IEEE Xplore: 25 June 2003
Print ISBN:0-7803-7761-3
Conference Location: Bangkok, Thailand

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