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Design of low complexity multiplierless digital filters with optimized free structure using a population-based metaheuristic

机译:使用基于种群的元启发式算法设计具有优化自由结构的低复杂度无乘法器数字滤波器

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Traditional multiplierless digital filter design techniques try to solve the Multiple Constant Multiplication (MCM) problem by implementing the coefficients of the transfer function using multiplier blocks. However, these methods are based on defined circuit architectures, such as the direct or the transposed form, to implement the rest of the filter. This paper introduces an innovative process that simultaneously designs multiplierless low complexity digital filters and optimizes their global structure. Performance of the proposed algorithm is validated by comparing its accuracy to current methods when designing 1000 IIR filters.
机译:传统的无乘法器数字滤波器设计技术试图通过使用乘法器模块实现传递函数的系数来解决多常数乘法(MCM)问题。但是,这些方法基于定义的电路体系结构,例如直接或转置形式,以实现其余的滤波器。本文介绍了一种创新的过程,该过程可同时设计无乘法器,低复杂度的数字滤波器并优化其全局结构。设计1000个IIR滤波器时,通过将其算法与当前方法的准确性进行比较,可以验证所提出算法的性能。

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