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Optimization of Symmetric Self-Hilbertian Filters for the Dual-Tree Complex Wavelet Transform

机译:对偶树复小波变换的对称自希尔伯特滤波器的优化

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In this letter, we expand upon the method of Tay for the design of orthonormal “Q-shift” filters for the dual-tree complex wavelet transform. The method of Tay searches for good Hilbert-pairs in a one-parameter family of conjugate-quadrature filters that have one vanishing moment less than the Daubechies conjugate-quadrature filters (CQFs). In this letter, we compute feasible sets for one- and two-parameter families of CQFs by employing the trace parameterization of nonnegative trigonometric polynomials and semidefinite programming. This permits the design of CQF pairs that define complex wavelets that are more nearly analytic, yet still have a high number of vanishing moments.
机译:在这封信中,我们扩展了Tay的方法,以设计用于双树复小波变换的正交“ Q位移”滤波器。 Tay方法在单参数共轭正交滤波器的一个参数族中搜索良好的希尔伯特对,其消失矩小于Daubechies共轭正交滤波器(CQF)。在这封信中,我们通过使用非负三角多项式的迹线参数化和半定规划来计算CQF的一参数和两参数系列的可行集。这允许设计CQF对,这些CQF对定义了更接近分析但仍​​然具有大量消失力矩的复杂小波。

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