A sequential reoptimization approach for the design of signed power-of-two coefficient lattice QMF bank

Y. Yu, Y. Lim
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Abstract

This paper presents a sequential optimization approach for the design of lattice structure quadrature mirror filter (QMF) banks subject to the sum of signed power-of-two (SPT) coefficient constraints. The lattice structure QMF bank structurally guarantees the perfect reconstruction (PR) property. Nevertheless, its frequency response is still adversely affected by coefficient quantization. In this paper, a frequency response deterioration measure is developed from the lattice coefficient analysis. Based on this frequency response deterioration measure, the coefficient which will cause the largest deterioration in the frequency response of the filter is selected for quantization first. After the coefficient is quantized, the remaining unquantized coefficients are reoptimized. The process of quantizing the coefficient and reoptimizing the remaining unquantized coefficient is repeated until all the coefficients are quantized. The frequency responses of the filters obtained using our algorithm are significantly superior to those obtained by simple rounding of the coefficient values.
符号2系数幂格QMF库设计的一种序贯再优化方法
本文提出了一种受符号二次方(SPT)系数和约束的晶格结构正交镜像滤波器组的序贯优化设计方法。晶格结构的QMF库从结构上保证了良好的重构性能。然而,其频率响应仍然受到系数量化的不利影响。本文从晶格系数分析出发,提出了一种频响劣化测度方法。在此频响劣化测度的基础上,首先选择对滤波器频响劣化影响最大的系数进行量化。系数量化后,对剩余的未量化系数进行重新优化。量化系数和重新优化剩余未量化系数的过程重复,直到所有系数都被量化。用该算法得到的滤波器的频率响应明显优于简单舍入系数值得到的频率响应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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