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首页> 外文期刊>Journal of Computers >A Novel Discrete Particle Swarm Optimization for FRM FIR Digital Filters
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A Novel Discrete Particle Swarm Optimization for FRM FIR Digital Filters

机译:FRM FIR数字滤波器的新型离散粒子群优化

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—This paper presents a novel discrete particle swarm optimization (PSO) for frequency response masking (FRM) finite impulse response (FIR) digital filters over the canonical signed-digit (CSD) multiplier coefficient space. A look-up table (LUT) scheme is employed to ensure that the PSO automatically searches through permissible CSD multiplier coefficient values in the course of optimization without any recourse to backtracking. This is achieved by searching through the indices of the CSD multiplier coefficient values in the LUT instead of the coefficient values themselves. In this way, the resulting multiplier coefficient values are ensured to conform to a prespecified wordlength as well as to a prespecified maximum number of non-zero digits. The salient feature of this LUT scheme is that by introducing barren layers in the LUT, there is no need to limit the search space manually in the course of PSO to prevent from going over the boundaries of the search space. Examples are given to illustrate the application of the proposed PSO to the design and optimization of a lowpass and a bandpass FRM FIR digital filters.
机译:- 这篇论文提出了一种新颖的离散粒子群优化(PSO)用于频率响应掩蔽(FRM)在规范签名 - 数字(CSD)乘数系数空间上的有限脉冲响应(FIR)数字滤波器。采用查找表(LUT)方案来确保PSO在优化过程中通过允许的CSD乘数系数值自动搜索,而无需回溯到转换。这是通过搜索LUT中的CSD乘法器系数值的指数而不是系数值本身来实现的。以这种方式,确保所得到的乘数系数值符合预先确定的字度以及预定的最大非零数量。这种LUT方案的突出特征是通过在LUT中引入贫瘠层,在PSO的过程中,不需要在PSO过程中手动限制搜索空间,以防止越过搜索空间的边界。给出了示例来说明所提出的PSO应用于低通和带通FIR数字滤波器的设计和优化。

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