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A genetic algorithm for optimisation of linear phase FIR filter coefficients

机译:一种优化线性相位FIR滤波器系数的遗传算法

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A genetic algorithm is used to design and optimise the digital FIR filter coefficients. Given the desired amplitude response of the filter to be designed, the algorithm generates the filter coefficients with the specified number of taps and bits per coefficients. The linearity of the phase response is satisfied by making the filter coefficients symmetric. The algorithm generates a population of genomes that represents the filter coefficients and compares the amplitude response of each genome to that of the desired amplitude response. New genomes are generated by crossover, mutation operations as well as by deterministic pruning method. Since the algorithm directly generates digital coefficients, there is no need to truncate the coefficients for digital hardware implementation of the filter.
机译:遗传算法用于设计和优化数字FIR滤波器系数。 鉴于要设计过滤器的所需幅度响应,算法生成具有指定数量的抽头数和每系数的比特的滤波器系数。 通过使滤波器系数对称来满足相位响应的线性。 该算法产生表示滤波器系数的基因组群,并将每个基因组的幅度响应与所需幅度响应的幅度进行比较。 通过交叉,突变操作以及通过确定性修剪方法产生新的基因组。 由于算法直接产生数字系数,因此不需要截断滤波器的数字硬件实现的系数。

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