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

机译:符号重新优化方法,用于签名功率 - 两个系数格QMF银行的设计

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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.
机译:本文介绍了晶格结构正交镜面滤波器(QMF)银行设计的顺序优化方法,其涉及符号的两倍(SPT)系数约束之和。格子结构QMF银行在结构上保证了完美的重建(PR)财产。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中显影了频率响应劣化度量。基于该频率响应劣化度量,选择将引起滤波器的频率响应劣化的系数首先进行量化。在量化的系数之后,重新优化剩余的未调节系数。重复量化系数和重新优化剩余的未调节系数的过程,直到量化所有系数。使用我们的算法获得的滤波器的频率响应显着优于通过简单舍入系数值获得的响应。

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