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GA-based design of multiplierless 2-D state-space digital filterswith low roundoff noise

机译:基于GA的无乘法器2D状态空间数字滤波器设计,具有低舍入噪声

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A new design method for multiplierless two-dimensional (2-D)nstate-space digital filters (SSDFs) with very low roundoff noise isnpresented. To eliminate multipliers in the hardware implementation,nmultiplierless 2-D SSDFs are designed under the constraint that allncoefficients are expressed as one or two powers-of-two terms. They arenattractive for low-cost implementation and high-speed operation. Innaddition, they can also perform highly accurate 2 D digital filteringnbecause of very low roundoff noise. A combinatorial optimisation methodnbased on a genetic algorithm (GA) is given to determine thencoefficients. A stability test routine is also embedded in the GA-basedndesign procedure to ensure the stability of the resultant multiplierlessnSSDFs. The proposed method can design multiplierless 2-D SSDFs not onlynwith small approximation error but also with almost minimum roundoffnnoise. In addition they require fewer computational volume than 2-DnSSDFs designed in a continuous coefficient space. For 16-bit words, thendesigned multiplierless 2-D SSDFs can be implemented with 24%, of thencomputational volume of 2-D SSDFs with real multipliers. Theneffectiveness of the proposed methods is demonstrated by two designnexamples
机译:提出了一种新的设计方法,该方法用于舍入噪声非常低的无乘法器二维(2-D)n状态空间数字滤波器(SSDF)。为了消除硬件实现中的乘法器,在将所有系数表示为一项或两项的二次方的约束下,设计了无乘法器的2-D SSDF。它们对于低成本实施和高速运行没有吸引力。此外,由于舍入噪声非常低,它们还可以执行高精度2D数字滤波。给出了一种基于遗传算法(GA)的组合优化方法来确定系数。稳定性测试程序也嵌入基于GA的n设计程序中,以确保所得乘数无n SSDF的稳定性。所提出的方法不仅可以设计出无乘法器的2-D SSDF,而且近似误差很小,而且舍入噪声几乎最小。此外,与在连续系数空间中设计的2-DnSSDF相比,它们所需的计算量更少。对于16位字,当时设计的无乘法器2-D SSDF可以用实际乘法器的2-D SSDF的计算量的24%来实现。然后通过两个设计实例证明了所提方法的有效性。

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